[{"language":[{"iso":"ger"}],"title":"Methodik zur Untersuchung der Fahrwerksparameter von Schienenfahrzeugen auf Basis optischer Schwingungsmessungen an einer ortsfesten Messstelle","year":"2026","author":[{"first_name":"Max","last_name":"Kelber","full_name":"Kelber, Max","id":"70188"},{"last_name":"Brück","first_name":"Steffen","full_name":"Brück, Steffen"},{"full_name":"Bhardwaj, Nishant","first_name":"Nishant","last_name":"Bhardwaj"},{"id":"9557","first_name":"Osarenren Kennedy","last_name":"Aimiyekagbon","full_name":"Aimiyekagbon, Osarenren Kennedy"},{"full_name":"Naumann, Rolf","first_name":"Rolf","last_name":"Naumann"},{"id":"21220","last_name":"Sextro","first_name":"Walter","full_name":"Sextro, Walter"}],"publication_identifier":{"isbn":["978-3-96892-332-1"]},"corporate_editor":["Hochschule für Technik und Wirtschaft Dresden, Fakultät Maschinenbau"],"date_updated":"2026-03-04T10:38:28Z","publication_status":"published","date_created":"2026-03-04T10:26:27Z","type":"conference","department":[{"_id":"151"}],"publication":"Tagungsband Rad-Schiene-Tagung 2026","page":"206 – 208","_id":"64826","publisher":"DVV Media Group GmbH - Eurailpress","user_id":"70188","status":"public","conference":{"end_date":"2026-03-06","location":"Dresden","start_date":"2026-03-04","name":"21. Internationale Schienenfahrzeugtagung Dresden 4.-6. März 2026"},"place":"Hamburg","popular_science":"1","citation":{"apa":"Kelber, M., Brück, S., Bhardwaj, N., Aimiyekagbon, O. K., Naumann, R., &#38; Sextro, W. (2026). Methodik zur Untersuchung der Fahrwerksparameter von Schienenfahrzeugen auf Basis optischer Schwingungsmessungen an einer ortsfesten Messstelle. In Hochschule für Technik und Wirtschaft Dresden, Fakultät Maschinenbau (Ed.), <i>Tagungsband Rad-Schiene-Tagung 2026</i> (pp. 206 – 208). DVV Media Group GmbH - Eurailpress.","ieee":"M. Kelber, S. Brück, N. Bhardwaj, O. K. Aimiyekagbon, R. Naumann, and W. Sextro, “Methodik zur Untersuchung der Fahrwerksparameter von Schienenfahrzeugen auf Basis optischer Schwingungsmessungen an einer ortsfesten Messstelle,” in <i>Tagungsband Rad-Schiene-Tagung 2026</i>, Dresden, 2026, pp. 206 – 208.","chicago":"Kelber, Max, Steffen Brück, Nishant Bhardwaj, Osarenren Kennedy Aimiyekagbon, Rolf Naumann, and Walter Sextro. “Methodik zur Untersuchung der Fahrwerksparameter von Schienenfahrzeugen auf Basis optischer Schwingungsmessungen an einer ortsfesten Messstelle.” In <i>Tagungsband Rad-Schiene-Tagung 2026</i>, edited by Hochschule für Technik und Wirtschaft Dresden, Fakultät Maschinenbau, 206 – 208. Hamburg: DVV Media Group GmbH - Eurailpress, 2026.","short":"M. Kelber, S. Brück, N. Bhardwaj, O.K. Aimiyekagbon, R. Naumann, W. Sextro, in: Hochschule für Technik und Wirtschaft Dresden, Fakultät Maschinenbau (Ed.), Tagungsband Rad-Schiene-Tagung 2026, DVV Media Group GmbH - Eurailpress, Hamburg, 2026, pp. 206 – 208.","mla":"Kelber, Max, et al. “Methodik zur Untersuchung der Fahrwerksparameter von Schienenfahrzeugen auf Basis optischer Schwingungsmessungen an einer ortsfesten Messstelle.” <i>Tagungsband Rad-Schiene-Tagung 2026</i>, edited by Hochschule für Technik und Wirtschaft Dresden, Fakultät Maschinenbau, DVV Media Group GmbH - Eurailpress, 2026, pp. 206 – 208.","ama":"Kelber M, Brück S, Bhardwaj N, Aimiyekagbon OK, Naumann R, Sextro W. Methodik zur Untersuchung der Fahrwerksparameter von Schienenfahrzeugen auf Basis optischer Schwingungsmessungen an einer ortsfesten Messstelle. In: Hochschule für Technik und Wirtschaft Dresden, Fakultät Maschinenbau, ed. <i>Tagungsband Rad-Schiene-Tagung 2026</i>. DVV Media Group GmbH - Eurailpress; 2026:206 – 208.","bibtex":"@inproceedings{Kelber_Brück_Bhardwaj_Aimiyekagbon_Naumann_Sextro_2026, place={Hamburg}, title={Methodik zur Untersuchung der Fahrwerksparameter von Schienenfahrzeugen auf Basis optischer Schwingungsmessungen an einer ortsfesten Messstelle}, booktitle={Tagungsband Rad-Schiene-Tagung 2026}, publisher={DVV Media Group GmbH - Eurailpress}, author={Kelber, Max and Brück, Steffen and Bhardwaj, Nishant and Aimiyekagbon, Osarenren Kennedy and Naumann, Rolf and Sextro, Walter}, editor={Hochschule für Technik und Wirtschaft Dresden, Fakultät Maschinenbau}, year={2026}, pages={206 – 208} }"},"project":[{"name":"enableATO – Automatisierter Bahnverkehr als Backbone für eine nachhaltige, vernetzte Mobilität im ländlichen Raum","_id":"1355"}]},{"citation":{"apa":"Wohlleben, M. C., Linneweber, J. M., Schütte, J., &#38; Sextro, W. (2026). Enabling Hybrid Modeling in Commercial MBS Software: A Force‐Level Approach. <i>Proceedings in Applied Mathematics and Mechanics</i>, <i>26</i>(4), Article e70215. <a href=\"https://doi.org/10.1002/pamm.70215\">https://doi.org/10.1002/pamm.70215</a>","ieee":"M. C. Wohlleben, J. M. Linneweber, J. Schütte, and W. Sextro, “Enabling Hybrid Modeling in Commercial MBS Software: A Force‐Level Approach,” <i>Proceedings in Applied Mathematics and Mechanics</i>, vol. 26, no. 4, Art. no. e70215, 2026, doi: <a href=\"https://doi.org/10.1002/pamm.70215\">10.1002/pamm.70215</a>.","chicago":"Wohlleben, Meike Claudia, Jill Mercedes Linneweber, Jan Schütte, and Walter Sextro. “Enabling Hybrid Modeling in Commercial MBS Software: A Force‐Level Approach.” <i>Proceedings in Applied Mathematics and Mechanics</i> 26, no. 4 (2026). <a href=\"https://doi.org/10.1002/pamm.70215\">https://doi.org/10.1002/pamm.70215</a>.","short":"M.C. Wohlleben, J.M. Linneweber, J. Schütte, W. Sextro, Proceedings in Applied Mathematics and Mechanics 26 (2026).","mla":"Wohlleben, Meike Claudia, et al. “Enabling Hybrid Modeling in Commercial MBS Software: A Force‐Level Approach.” <i>Proceedings in Applied Mathematics and Mechanics</i>, vol. 26, no. 4, e70215, Wiley, 2026, doi:<a href=\"https://doi.org/10.1002/pamm.70215\">10.1002/pamm.70215</a>.","ama":"Wohlleben MC, Linneweber JM, Schütte J, Sextro W. Enabling Hybrid Modeling in Commercial MBS Software: A Force‐Level Approach. <i>Proceedings in Applied Mathematics and Mechanics</i>. 2026;26(4). doi:<a href=\"https://doi.org/10.1002/pamm.70215\">10.1002/pamm.70215</a>","bibtex":"@article{Wohlleben_Linneweber_Schütte_Sextro_2026, title={Enabling Hybrid Modeling in Commercial MBS Software: A Force‐Level Approach}, volume={26}, DOI={<a href=\"https://doi.org/10.1002/pamm.70215\">10.1002/pamm.70215</a>}, number={4e70215}, journal={Proceedings in Applied Mathematics and Mechanics}, publisher={Wiley}, author={Wohlleben, Meike Claudia and Linneweber, Jill Mercedes and Schütte, Jan and Sextro, Walter}, year={2026} }"},"status":"public","user_id":"43991","volume":26,"_id":"67294","publisher":"Wiley","abstract":[{"text":"<jats:title>ABSTRACT</jats:title>\r\n                  <jats:p>Hybrid modeling aims to combine physical and data‐driven models to increase simulation accuracy without losing physical interpretability. In the context of dynamic mechanical systems, this enables the compensation of modeling inaccuracies that arise from simplifications, missing effects, or uncertain parameters. In this work, a hybrid model is used as a starting point, in which the discrepancy between simulation and measurement is learned and compensated by a data‐driven correction element. To integrate such models into commercial multibody simulation software like Adams or Simpack, the formulation is adapted to operate directly on the force level. This allows implementation via standard co‐simulation interfaces without modifying the system's differential equations or solvers. The method is demonstrated using a three‐mass oscillator with synthetic measurement data. Results show that the coupled simulation works reliably and that the hybrid model significantly improves accuracy while remaining compatible with established industrial simulation workflows.</jats:p>","lang":"eng"}],"issue":"4","publication":"Proceedings in Applied Mathematics and Mechanics","type":"journal_article","department":[{"_id":"151"}],"date_created":"2026-10-01T08:31:35Z","date_updated":"2026-10-01T09:06:26Z","publication_status":"published","intvolume":"        26","year":"2026","title":"Enabling Hybrid Modeling in Commercial MBS Software: A Force‐Level Approach","publication_identifier":{"issn":["1617-7061","1617-7061"]},"author":[{"full_name":"Wohlleben, Meike Claudia","orcid":"0009-0009-9767-7168","last_name":"Wohlleben","first_name":"Meike Claudia","id":"43991"},{"id":"57639","last_name":"Linneweber","orcid":"https://orcid.org/0009-0002-1910-358X","first_name":"Jill Mercedes","full_name":"Linneweber, Jill Mercedes"},{"orcid":"0000-0001-9025-9742","first_name":"Jan","last_name":"Schütte","full_name":"Schütte, Jan","id":"22109"},{"id":"21220","full_name":"Sextro, Walter","first_name":"Walter","last_name":"Sextro"}],"doi":"10.1002/pamm.70215","article_number":"e70215","language":[{"iso":"eng"}]},{"place":"Cham","citation":{"ama":"Amakor AC, Berkemeier MB, Wohlleben MC, Sextro W, Peitz S. Surrogate-Assisted Multi-objective Design of Complex Multibody Systems. In: Senn W, Sanguineti M, Saudargiene A, et al., eds. <i>Artificial Neural Networks and Machine Learning – ICANN 2025</i>. Springer Nature Switzerland; 2026:251–262. doi:<a href=\"https://doi.org/10.1007/978-3-032-04555-3_21\">10.1007/978-3-032-04555-3_21</a>","bibtex":"@inproceedings{Amakor_Berkemeier_Wohlleben_Sextro_Peitz_2026, place={Cham}, title={Surrogate-Assisted Multi-objective Design of Complex Multibody Systems}, DOI={<a href=\"https://doi.org/10.1007/978-3-032-04555-3_21\">10.1007/978-3-032-04555-3_21</a>}, booktitle={Artificial Neural Networks and Machine Learning – ICANN 2025}, publisher={Springer Nature Switzerland}, author={Amakor, Augustina Chidinma and Berkemeier, Manuel B. and Wohlleben, Meike Claudia and Sextro, Walter and Peitz, Sebastian}, editor={Senn, Walter and Sanguineti, Marcello and Saudargiene, Ausra and Tetko, Igor V. and Villa, Alessandro E. P. and Jirsa, Viktor and Bengio, Yoshua}, year={2026}, pages={251–262} }","mla":"Amakor, Augustina Chidinma, et al. “Surrogate-Assisted Multi-Objective Design of Complex Multibody Systems.” <i>Artificial Neural Networks and Machine Learning – ICANN 2025</i>, edited by Walter Senn et al., Springer Nature Switzerland, 2026, pp. 251–262, doi:<a href=\"https://doi.org/10.1007/978-3-032-04555-3_21\">10.1007/978-3-032-04555-3_21</a>.","short":"A.C. Amakor, M.B. Berkemeier, M.C. Wohlleben, W. Sextro, S. Peitz, in: W. Senn, M. Sanguineti, A. Saudargiene, I.V. Tetko, A.E.P. Villa, V. Jirsa, Y. Bengio (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2025, Springer Nature Switzerland, Cham, 2026, pp. 251–262.","chicago":"Amakor, Augustina Chidinma, Manuel B. Berkemeier, Meike Claudia Wohlleben, Walter Sextro, and Sebastian Peitz. “Surrogate-Assisted Multi-Objective Design of Complex Multibody Systems.” In <i>Artificial Neural Networks and Machine Learning – ICANN 2025</i>, edited by Walter Senn, Marcello Sanguineti, Ausra Saudargiene, Igor V. Tetko, Alessandro E. P. Villa, Viktor Jirsa, and Yoshua Bengio, 251–262. Cham: Springer Nature Switzerland, 2026. <a href=\"https://doi.org/10.1007/978-3-032-04555-3_21\">https://doi.org/10.1007/978-3-032-04555-3_21</a>.","apa":"Amakor, A. C., Berkemeier, M. B., Wohlleben, M. C., Sextro, W., &#38; Peitz, S. (2026). Surrogate-Assisted Multi-objective Design of Complex Multibody Systems. In W. Senn, M. Sanguineti, A. Saudargiene, I. V. Tetko, A. E. P. Villa, V. Jirsa, &#38; Y. Bengio (Eds.), <i>Artificial Neural Networks and Machine Learning – ICANN 2025</i> (pp. 251–262). Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-032-04555-3_21\">https://doi.org/10.1007/978-3-032-04555-3_21</a>","ieee":"A. C. Amakor, M. B. Berkemeier, M. C. Wohlleben, W. Sextro, and S. Peitz, “Surrogate-Assisted Multi-objective Design of Complex Multibody Systems,” in <i>Artificial Neural Networks and Machine Learning – ICANN 2025</i>, 2026, pp. 251–262, doi: <a href=\"https://doi.org/10.1007/978-3-032-04555-3_21\">10.1007/978-3-032-04555-3_21</a>."},"editor":[{"first_name":"Walter","last_name":"Senn","full_name":"Senn, Walter"},{"full_name":"Sanguineti, Marcello","first_name":"Marcello","last_name":"Sanguineti"},{"full_name":"Saudargiene, Ausra","last_name":"Saudargiene","first_name":"Ausra"},{"first_name":"Igor V.","last_name":"Tetko","full_name":"Tetko, Igor V."},{"full_name":"Villa, Alessandro E. P.","last_name":"Villa","first_name":"Alessandro E. P."},{"full_name":"Jirsa, Viktor","last_name":"Jirsa","first_name":"Viktor"},{"first_name":"Yoshua","last_name":"Bengio","full_name":"Bengio, Yoshua"}],"user_id":"47427","_id":"67308","publisher":"Springer Nature Switzerland","page":"251–262","status":"public","department":[{"_id":"655"}],"type":"conference","keyword":["own","own-conference"],"date_created":"2026-10-01T12:02:40Z","abstract":[{"text":"Optimizing large-scale multibody systems is a challenging task, particularly in the presence of multiple conflicting criteria. To prevent high simulation costs, surrogate models constructed from a small number of expensive model evaluations are very popular. However, it is difficult to ensure the optimality of the obtained solutions using a single pre-computed model. We present a back-and-forth approach between surrogate modeling and multi-objective optimization, and we compare different strategies for optimization, sampling, and surrogate modeling, to identify the most promising approach in terms of computational efficiency and solution quality.","lang":"eng"}],"publication":"Artificial Neural Networks and Machine Learning – ICANN 2025","doi":"10.1007/978-3-032-04555-3_21","language":[{"iso":"eng"}],"date_updated":"2026-10-01T12:03:16Z","author":[{"id":"97916","full_name":"Amakor, Augustina Chidinma","first_name":"Augustina Chidinma","last_name":"Amakor"},{"first_name":"Manuel B.","last_name":"Berkemeier","full_name":"Berkemeier, Manuel B."},{"first_name":"Meike Claudia","last_name":"Wohlleben","orcid":"0009-0009-9767-7168","full_name":"Wohlleben, Meike Claudia","id":"43991"},{"id":"21220","full_name":"Sextro, Walter","last_name":"Sextro","first_name":"Walter"},{"orcid":"0000-0002-3389-793X","last_name":"Peitz","first_name":"Sebastian","full_name":"Peitz, Sebastian","id":"47427"}],"publication_identifier":{"isbn":["978-3-032-04555-3"]},"year":"2026","title":"Surrogate-Assisted Multi-objective Design of Complex Multibody Systems"},{"page":"432-435","language":[{"iso":"ger"}],"_id":"66428","user_id":"69217","publication_date":"2026-04","year":"2026","title":"Modellgestützte Optimierung eines Ultraschall-Torsionsschweißsystems","status":"public","author":[{"id":"69217","first_name":"Markus Daniel","last_name":"Dohmen","full_name":"Dohmen, Markus Daniel"},{"first_name":"Peter","last_name":"Bornmann","full_name":"Bornmann, Peter"},{"full_name":"Littmann, Walter ","last_name":"Littmann","first_name":"Walter "},{"first_name":"Tobias","last_name":"Hemsel","full_name":"Hemsel, Tobias","id":"210"},{"last_name":"Sextro","first_name":"Walter","full_name":"Sextro, Walter","id":"21220"}],"publication_status":"published","date_updated":"2026-07-10T08:01:40Z","date_created":"2026-07-10T07:57:12Z","type":"newspaper_article","publication":"PLUS-Elektronikfertigung","issue":"04/2026","citation":{"short":"M.D. Dohmen, P. Bornmann, W. Littmann, T. Hemsel, W. Sextro, PLUS-Elektronikfertigung (2026) 432–435.","chicago":"Dohmen, Markus Daniel, Peter Bornmann, Walter  Littmann, Tobias Hemsel, and Walter Sextro. “Modellgestützte Optimierung eines Ultraschall-Torsionsschweißsystems.” <i>PLUS-Elektronikfertigung</i>, 2026.","apa":"Dohmen, M. D., Bornmann, P., Littmann, W., Hemsel, T., &#38; Sextro, W. (2026). Modellgestützte Optimierung eines Ultraschall-Torsionsschweißsystems. <i>PLUS-Elektronikfertigung</i>, <i>04/2026</i>, 432–435.","ieee":"M. D. Dohmen, P. Bornmann, W. Littmann, T. Hemsel, and W. Sextro, “Modellgestützte Optimierung eines Ultraschall-Torsionsschweißsystems,” <i>PLUS-Elektronikfertigung</i>, no. 04/2026, pp. 432–435, 2026.","ama":"Dohmen MD, Bornmann P, Littmann W, Hemsel T, Sextro W. Modellgestützte Optimierung eines Ultraschall-Torsionsschweißsystems. <i>PLUS-Elektronikfertigung</i>. 2026:432-435.","bibtex":"@article{Dohmen_Bornmann_Littmann_Hemsel_Sextro_2026, title={Modellgestützte Optimierung eines Ultraschall-Torsionsschweißsystems}, number={04/2026}, journal={PLUS-Elektronikfertigung}, author={Dohmen, Markus Daniel and Bornmann, Peter and Littmann, Walter  and Hemsel, Tobias and Sextro, Walter}, year={2026}, pages={432–435} }","mla":"Dohmen, Markus Daniel, et al. “Modellgestützte Optimierung eines Ultraschall-Torsionsschweißsystems.” <i>PLUS-Elektronikfertigung</i>, no. 04/2026, 2026, pp. 432–35."}},{"date_updated":"2026-09-07T13:01:58Z","publication_status":"published","intvolume":"         9","title":"Prediction and simulation of battery pack usage for intelligent service robot deployment at a train station","year":"2026","publication_identifier":{"issn":["2325-016X","2325-016X"]},"author":[{"id":"47233","last_name":"Löwen","first_name":"Alexander","full_name":"Löwen, Alexander"},{"full_name":"Aleman-Gallegos, Enrique","last_name":"Aleman-Gallegos","first_name":"Enrique"},{"id":"9557","first_name":"Osarenren","last_name":"Aimiyekagbon","full_name":"Aimiyekagbon, Osarenren"},{"last_name":"Wachsmuth","first_name":"Sven","full_name":"Wachsmuth, Sven"},{"full_name":"Sextro, Walter","first_name":"Walter","last_name":"Sextro","id":"21220"}],"doi":"10.36001/phme.2026.v9i1.4952","main_file_link":[{"url":"https://papers.phmsociety.org/index.php/phme/article/view/4952","open_access":"1"}],"language":[{"iso":"eng"}],"related_material":{"link":[{"url":"https://papers.phmsociety.org/index.php/phme/article/view/4952","relation":"confirmation"}]},"abstract":[{"lang":"eng","text":"<jats:p>In order to make rail transportation more attractive compared to motorized private transport, intelligent solutions are required across the entire mobility chain. Train stations, as places of connection and transfer, offer the greatest potential in this context. Thus, the deployment of autonomous service robots at train stations offers a wide range of possibilities for supporting passengers on their journeys by rail, for example, by providing information, accompanying them to the next link in the mobility chain, or transporting their luggage. Since such robots are battery-powered, one challenge is to carefully plan activities based on the remaining battery capacity. Therefore, the aim of this work is to predict battery usage and, in turn, battery state, in order to inform passengers, and to enable intelligent planning of its usage.In this work, realistic operational conditions of a service robot are systematically assessed through measurements on the service robot itself and through passenger surveys at a train station. The estimated operational conditions are experimentally replicated to simulate the heterogeneous use of the battery pack, while acquiring condition monitoring data throughout its use. The battery pack is modeled based on the single particle model, which can robustly predict the battery state by simulating its usage considering past operational conditions. The approach is validated using experimental data obtained from simulating realistic usage. On the one hand, additional battery packs are employed, and on the other hand, the load is varied. The advantage of this approach lies in the ability to account for future changes, such as higher loads than anticipated, to provide robust predictions.This enables the intelligent use of service robots, offering passengers an improved service experience at train stations.</jats:p>"}],"issue":"1","publication":"PHM Society European Conference","type":"conference","department":[{"_id":"151"}],"date_created":"2026-09-07T12:52:16Z","status":"public","conference":{"end_date":"2026-07-10","start_date":"2026-07-08","location":"Oslo"},"user_id":"47233","volume":9,"page":"1-10","publisher":"PHM Society","_id":"67019","quality_controlled":"1","popular_science":"1","citation":{"mla":"Löwen, Alexander, et al. “Prediction and Simulation of Battery Pack Usage for Intelligent Service Robot Deployment at a Train Station.” <i>PHM Society European Conference</i>, vol. 9, no. 1, PHM Society, 2026, pp. 1–10, doi:<a href=\"https://doi.org/10.36001/phme.2026.v9i1.4952\">10.36001/phme.2026.v9i1.4952</a>.","ama":"Löwen A, Aleman-Gallegos E, Aimiyekagbon O, Wachsmuth S, Sextro W. Prediction and simulation of battery pack usage for intelligent service robot deployment at a train station. In: <i>PHM Society European Conference</i>. Vol 9. PHM Society; 2026:1-10. doi:<a href=\"https://doi.org/10.36001/phme.2026.v9i1.4952\">10.36001/phme.2026.v9i1.4952</a>","bibtex":"@inproceedings{Löwen_Aleman-Gallegos_Aimiyekagbon_Wachsmuth_Sextro_2026, place={Oslo}, title={Prediction and simulation of battery pack usage for intelligent service robot deployment at a train station}, volume={9}, DOI={<a href=\"https://doi.org/10.36001/phme.2026.v9i1.4952\">10.36001/phme.2026.v9i1.4952</a>}, number={1}, booktitle={PHM Society European Conference}, publisher={PHM Society}, author={Löwen, Alexander and Aleman-Gallegos, Enrique and Aimiyekagbon, Osarenren and Wachsmuth, Sven and Sextro, Walter}, year={2026}, pages={1–10} }","apa":"Löwen, A., Aleman-Gallegos, E., Aimiyekagbon, O., Wachsmuth, S., &#38; Sextro, W. (2026). Prediction and simulation of battery pack usage for intelligent service robot deployment at a train station. <i>PHM Society European Conference</i>, <i>9</i>(1), 1–10. <a href=\"https://doi.org/10.36001/phme.2026.v9i1.4952\">https://doi.org/10.36001/phme.2026.v9i1.4952</a>","ieee":"A. Löwen, E. Aleman-Gallegos, O. Aimiyekagbon, S. Wachsmuth, and W. Sextro, “Prediction and simulation of battery pack usage for intelligent service robot deployment at a train station,” in <i>PHM Society European Conference</i>, Oslo, 2026, vol. 9, no. 1, pp. 1–10, doi: <a href=\"https://doi.org/10.36001/phme.2026.v9i1.4952\">10.36001/phme.2026.v9i1.4952</a>.","chicago":"Löwen, Alexander, Enrique Aleman-Gallegos, Osarenren Aimiyekagbon, Sven Wachsmuth, and Walter Sextro. “Prediction and Simulation of Battery Pack Usage for Intelligent Service Robot Deployment at a Train Station.” In <i>PHM Society European Conference</i>, 9:1–10. Oslo: PHM Society, 2026. <a href=\"https://doi.org/10.36001/phme.2026.v9i1.4952\">https://doi.org/10.36001/phme.2026.v9i1.4952</a>.","short":"A. Löwen, E. Aleman-Gallegos, O. Aimiyekagbon, S. Wachsmuth, W. Sextro, in: PHM Society European Conference, PHM Society, Oslo, 2026, pp. 1–10."},"oa":"1","place":"Oslo"},{"publication":"Multibody System Dynamics","citation":{"mla":"Wohlleben, Meike Claudia, et al. “Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings.” <i>Multibody System Dynamics</i>, 2026, doi:<a href=\"https://doi.org/10.1007/s11044-026-10146-9\">10.1007/s11044-026-10146-9</a>.","bibtex":"@article{Wohlleben_Schütte_Berkemeier_Sextro_Peitz_2026, title={Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings}, DOI={<a href=\"https://doi.org/10.1007/s11044-026-10146-9\">10.1007/s11044-026-10146-9</a>}, journal={Multibody System Dynamics}, author={Wohlleben, Meike Claudia and Schütte, Jan and Berkemeier, Manuel and Sextro, Walter and Peitz, Sebastian}, year={2026} }","ama":"Wohlleben MC, Schütte J, Berkemeier M, Sextro W, Peitz S. Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings. <i>Multibody System Dynamics</i>. Published online 2026. doi:<a href=\"https://doi.org/10.1007/s11044-026-10146-9\">10.1007/s11044-026-10146-9</a>","ieee":"M. C. Wohlleben, J. Schütte, M. Berkemeier, W. Sextro, and S. Peitz, “Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings,” <i>Multibody System Dynamics</i>, 2026, doi: <a href=\"https://doi.org/10.1007/s11044-026-10146-9\">10.1007/s11044-026-10146-9</a>.","apa":"Wohlleben, M. C., Schütte, J., Berkemeier, M., Sextro, W., &#38; Peitz, S. (2026). Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings. <i>Multibody System Dynamics</i>. <a href=\"https://doi.org/10.1007/s11044-026-10146-9\">https://doi.org/10.1007/s11044-026-10146-9</a>","short":"M.C. Wohlleben, J. Schütte, M. Berkemeier, W. Sextro, S. Peitz, Multibody System Dynamics (2026).","chicago":"Wohlleben, Meike Claudia, Jan Schütte, Manuel Berkemeier, Walter Sextro, and Sebastian Peitz. “Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings.” <i>Multibody System Dynamics</i>, 2026. <a href=\"https://doi.org/10.1007/s11044-026-10146-9\">https://doi.org/10.1007/s11044-026-10146-9</a>."},"date_created":"2026-10-01T11:53:54Z","type":"journal_article","keyword":["own","own-journal"],"department":[{"_id":"655"}],"title":"Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings","year":"2026","status":"public","author":[{"id":"43991","full_name":"Wohlleben, Meike Claudia","first_name":"Meike Claudia","orcid":"0009-0009-9767-7168","last_name":"Wohlleben"},{"id":"22109","full_name":"Schütte, Jan","orcid":"0000-0001-9025-9742","first_name":"Jan","last_name":"Schütte"},{"full_name":"Berkemeier, Manuel","last_name":"Berkemeier","first_name":"Manuel"},{"full_name":"Sextro, Walter","first_name":"Walter","last_name":"Sextro","id":"21220"},{"full_name":"Peitz, Sebastian","orcid":"0000-0002-3389-793X","last_name":"Peitz","first_name":"Sebastian","id":"47427"}],"date_updated":"2026-10-01T11:54:23Z","_id":"67301","language":[{"iso":"eng"}],"user_id":"47427","doi":"10.1007/s11044-026-10146-9"},{"file_date_updated":"2026-10-08T14:00:25Z","citation":{"mla":"Schultz, Andreas Maximilian, et al. <i>Digitaler Zwilling für die Zustandsüberwachung und vorausschauende Instandhaltung im ATO</i>. 2026.","ama":"Schultz AM, Linneweber JM, Kelber M, et al. <i>Digitaler Zwilling für die Zustandsüberwachung und vorausschauende Instandhaltung im ATO</i>.; 2026.","bibtex":"@book{Schultz_Linneweber_Kelber_Hark_Müller_Sextro_Mozgova_2026, place={Lemgo}, title={Digitaler Zwilling für die Zustandsüberwachung und vorausschauende Instandhaltung im ATO}, author={Schultz, Andreas Maximilian and Linneweber, Jill Mercedes and Kelber, Max and Hark, Janik and Müller, Laura and Sextro, Walter and Mozgova, Iryna}, year={2026} }","apa":"Schultz, A. M., Linneweber, J. M., Kelber, M., Hark, J., Müller, L., Sextro, W., &#38; Mozgova, I. (2026). <i>Digitaler Zwilling für die Zustandsüberwachung und vorausschauende Instandhaltung im ATO</i>.","ieee":"A. M. Schultz <i>et al.</i>, <i>Digitaler Zwilling für die Zustandsüberwachung und vorausschauende Instandhaltung im ATO</i>. Lemgo, 2026.","short":"A.M. Schultz, J.M. Linneweber, M. Kelber, J. Hark, L. Müller, W. Sextro, I. Mozgova, Digitaler Zwilling für die Zustandsüberwachung und vorausschauende Instandhaltung im ATO, Lemgo, 2026.","chicago":"Schultz, Andreas Maximilian, Jill Mercedes Linneweber, Max Kelber, Janik Hark, Laura Müller, Walter Sextro, and Iryna Mozgova. <i>Digitaler Zwilling für die Zustandsüberwachung und vorausschauende Instandhaltung im ATO</i>. Lemgo, 2026."},"project":[{"_id":"1355","name":"enableATO – Automatisierter Bahnverkehr als Backbone für eine nachhaltige, vernetzte Mobilität im ländlichen Raum"}],"place":"Lemgo","status":"public","has_accepted_license":"1","_id":"67439","ddc":["006"],"user_id":"40599","abstract":[{"lang":"eng","text":"Predictive maintenance is a key requirement for autonomous systems, particularly in the rail sector where it enables autonomous rail operation.\r\n\r\nIn order to perform effective condition monitoring and predictive maintenance the integration of operational data, engineering models, and hybrid predictive models is necessary and enables a centralised access to all necessary data. The digital twin (DT) concept fulfils this requirements and is technically realised in the Eclipse BaSyx Asset Administration Shell (AAS) environment as a central hub for capturing models, measuring data and maintenance information. The implementation makes use of Industrial Digital Twin Association-Standards (IDTA) and models the train components in a hierarchical structure.\r\n\r\nHowever, in the current BaSyx implementation manually creating the hierarchical DT structures is error-prone and difficult to standardize. This paper presents an adapter that creates and maintains hierarchical DT structures based on predefined concepts. The adapter facilitates the annotation of heterogeneous data and models, their mapping to a desired DT hierarchy, and their deployment into a standardized BaSyx-based AAS infrastructure by providing an easy-to-use user interface. The hierarchical DT structure resembles the hierarchical structure of the system and its models and allows the exchange of parts or components physically and virtually.\r\n\r\nThe development of the adapter accompanied the development of physical, data-driven and hybrid models to enable predictive maintenance for rubber-metal springs in rail bogies. The application is illustratively for predictive maintenance in the rail sector and yielded practical insights for engineering cyber-physical systems.\r\n\r\nBy addressing current user interface limitations, this work provides a scalable, standard-compliant approach for integrating different data sources, creating the initial DT structure and continuously operating a DT in rail maintenance management."}],"file":[{"date_updated":"2026-10-08T14:00:25Z","relation":"main_file","access_level":"closed","file_size":1422611,"file_name":"Poster DMB Digitaler Zwilling.pdf","success":1,"content_type":"application/pdf","file_id":"67441","creator":"schultza","date_created":"2026-10-08T14:00:25Z"}],"date_created":"2026-10-08T14:03:01Z","type":"misc","department":[{"_id":"741"}],"year":"2026","title":"Digitaler Zwilling für die Zustandsüberwachung und vorausschauende Instandhaltung im ATO","author":[{"id":"40599","full_name":"Schultz, Andreas Maximilian","last_name":"Schultz","first_name":"Andreas Maximilian"},{"id":"57639","last_name":"Linneweber","first_name":"Jill Mercedes","orcid":"https://orcid.org/0009-0002-1910-358X","full_name":"Linneweber, Jill Mercedes"},{"id":"70188","full_name":"Kelber, Max","last_name":"Kelber","first_name":"Max"},{"full_name":"Hark, Janik","first_name":"Janik","last_name":"Hark"},{"full_name":"Müller, Laura","first_name":"Laura","last_name":"Müller","id":"44605"},{"id":"21220","first_name":"Walter","last_name":"Sextro","full_name":"Sextro, Walter"},{"id":"95903","full_name":"Mozgova, Iryna","first_name":"Iryna","last_name":"Mozgova"}],"date_updated":"2026-10-08T14:03:12Z","publication_status":"published","language":[{"iso":"ger"}]},{"project":[{"name":"enableATO – Automatisierter Bahnverkehr als Backbone für eine nachhaltige, vernetzte Mobilität im ländlichen Raum","_id":"1355"}],"quality_controlled":"1","citation":{"bibtex":"@inproceedings{Aimiyekagbon_Löwen_Hanselle_Rief_Beck_Sextro_2025, title={Multilevel fault diagnostics for railway applications using limited historical data}, volume={5}, DOI={<a href=\"https://doi.org/10.36001/phmap.2025.v5i1.4449\">10.36001/phmap.2025.v5i1.4449</a>}, number={1}, booktitle={PHM Society Asia-Pacific Conference}, author={Aimiyekagbon, Osarenren Kennedy and Löwen, Alexander and Hanselle, Raphael and Rief, Thomas and Beck, Maximilian and Sextro, Walter}, year={2025} }","short":"O.K. Aimiyekagbon, A. Löwen, R. Hanselle, T. Rief, M. Beck, W. Sextro, in: PHM Society Asia-Pacific Conference, 2025.","ama":"Aimiyekagbon OK, Löwen A, Hanselle R, Rief T, Beck M, Sextro W. Multilevel fault diagnostics for railway applications using limited historical data. In: <i>PHM Society Asia-Pacific Conference</i>. Vol 5. ; 2025. doi:<a href=\"https://doi.org/10.36001/phmap.2025.v5i1.4449\">10.36001/phmap.2025.v5i1.4449</a>","chicago":"Aimiyekagbon, Osarenren Kennedy, Alexander Löwen, Raphael Hanselle, Thomas Rief, Maximilian Beck, and Walter Sextro. “Multilevel Fault Diagnostics for Railway Applications Using Limited Historical Data.” In <i>PHM Society Asia-Pacific Conference</i>, Vol. 5, 2025. <a href=\"https://doi.org/10.36001/phmap.2025.v5i1.4449\">https://doi.org/10.36001/phmap.2025.v5i1.4449</a>.","ieee":"O. K. Aimiyekagbon, A. Löwen, R. Hanselle, T. Rief, M. Beck, and W. Sextro, “Multilevel fault diagnostics for railway applications using limited historical data,” in <i>PHM Society Asia-Pacific Conference</i>, 2025, vol. 5, doi: <a href=\"https://doi.org/10.36001/phmap.2025.v5i1.4449\">10.36001/phmap.2025.v5i1.4449</a>.","mla":"Aimiyekagbon, Osarenren Kennedy, et al. “Multilevel Fault Diagnostics for Railway Applications Using Limited Historical Data.” <i>PHM Society Asia-Pacific Conference</i>, vol. 5, 1, 2025, doi:<a href=\"https://doi.org/10.36001/phmap.2025.v5i1.4449\">10.36001/phmap.2025.v5i1.4449</a>.","apa":"Aimiyekagbon, O. K., Löwen, A., Hanselle, R., Rief, T., Beck, M., &#38; Sextro, W. (2025). Multilevel fault diagnostics for railway applications using limited historical data. <i>PHM Society Asia-Pacific Conference</i>, <i>5</i>, Article 1. <a href=\"https://doi.org/10.36001/phmap.2025.v5i1.4449\">https://doi.org/10.36001/phmap.2025.v5i1.4449</a>"},"volume":5,"user_id":"9557","_id":"64787","status":"public","department":[{"_id":"151"}],"keyword":["MONOCAB","Beijing Data Challenge","Diagnostics of railway systems"],"type":"conference","date_created":"2026-02-27T20:41:54Z","abstract":[{"text":"This study proposes a fault diagnostics methodology that addresses the challenges posed by highly imbalanced datasets typical of railway applications, where faulty conditions constitute the minority class. Fault diagnostics is performed from the component level upward, considering each sensor’s proximity to its respective critical component. Advanced signal analysis, feature engineering, and automated data-driven model generation techniques were explored to achieve comprehensive diagnostics, such that the model development process accounts for variations in the operating conditions and differing levels of information availability. The proposed methodology is evaluated on datasets from the MONOCAB, for scenarios with limited faulty instances and on the Beijing 2024 IEEE PHM Conference data challenge, which focused on fault diagnostics of railway systems under various fault modes and operating conditions.","lang":"eng"}],"publication":"PHM Society Asia-Pacific Conference","doi":"10.36001/phmap.2025.v5i1.4449","language":[{"iso":"eng"}],"article_number":"1","intvolume":"         5","date_updated":"2026-02-27T20:46:44Z","publication_status":"published","author":[{"full_name":"Aimiyekagbon, Osarenren Kennedy","last_name":"Aimiyekagbon","first_name":"Osarenren Kennedy","id":"9557"},{"first_name":"Alexander","last_name":"Löwen","full_name":"Löwen, Alexander","id":"47233"},{"last_name":"Hanselle","first_name":"Raphael","full_name":"Hanselle, Raphael"},{"full_name":"Rief, Thomas","last_name":"Rief","first_name":"Thomas"},{"full_name":"Beck, Maximilian","first_name":"Maximilian","last_name":"Beck"},{"id":"21220","full_name":"Sextro, Walter","last_name":"Sextro","first_name":"Walter"}],"year":"2025","title":"Multilevel fault diagnostics for railway applications using limited historical data"},{"abstract":[{"lang":"eng","text":"Intensive ultrasonic cleaning of surfaces by means of a lead-free ultrasonic transducer with focusing sonotrode\r\nUltrasonic cleaning baths are probably a coincidental development: After underwater sonars had already been successfully used to detect submarines before 1920, it was probably observed in this environment that the ultrasonic oscillators not only showed a self-cleaning effect but also cavitation damage. At the beginning of the 1950s, the first ultrasonic cleaning devices finally came onto the market. Today, the range of applications ranges from household appliances for jewellery and eyewear cleaning to classic cleaning baths for metal parts and systems for cleaning highly sensitive electronic components. There is a certain gap in handheld, mobile cleaning equipment. Although devices for spot cleaning of textiles are known, the cleaning effect is usually low. \r\nDue to the directive 2011/65/EU on the restriction of the use of hazardous substances in electrical and electronic equipment (RoHS) [1] lead should no longer be used in technical devices. As today’s standard ceramics for medium and high-power ultrasonic transducers typically contain lead, there is a need to explore the use of lead-free ceramics in this field. Honda [2] already offers a cleaning transducer based on lead-free piezoelectric ceramics, but it is designed to be used in cleaning baths.\r\nThis article presents the model-based development of a highly innovative ultrasonic cleaner. On the one hand, lead-free piezoelectric ceramics are used, and on the other hand, a special sonotrode has been developed that concentrates the sound in such a way that a strong cavitation and thus cleaning effect is achieved with comparatively low power in a short time. Coupled field finite element method was used to find an appropriate geometry for the focussing sonotrode. The comparison of simulation and measurement results shows that the lead-free piezoceramics used do their job well and can keep up with standard ceramics, but more ceramic volume is needed to achieve same power. An advanced control concept was elaborated to ensure continuous hard cavitation at varying distances between the sonotrode and the part to be cleaned. Cleaning results for different surfaces and contaminations are presented. The concept of the focusing sonotrode shows that a convincing cleaning result can be achieved even with low power and in short time, provided that the oscillation system and control electronics are suitably coordinated.\r\n\r\nReferences\r\n[1] http://data.europa.eu/eli/dir/2011/65/2024-08-01 \r\n[2] https://en.honda-el.co.jp/product/ceramics/lineup/lead_off/lead-off \r\n"}],"file_date_updated":"2026-03-02T10:58:37Z","citation":{"bibtex":"@inproceedings{Hemsel_Scheidemann_Bornmann_Littmann_Sextro_2025, title={Intensive ultrasonic cleaning of surfaces by means of lead-free ultrasonic transducer with focussing sonotrode}, author={Hemsel, Tobias and Scheidemann, Claus and Bornmann, Peter and Littmann, Walter and Sextro, Walter}, year={2025} }","short":"T. Hemsel, C. Scheidemann, P. Bornmann, W. Littmann, W. Sextro, in: 2025.","ama":"Hemsel T, Scheidemann C, Bornmann P, Littmann W, Sextro W. Intensive ultrasonic cleaning of surfaces by means of lead-free ultrasonic transducer with focussing sonotrode. In: ; 2025.","chicago":"Hemsel, Tobias, Claus Scheidemann, Peter Bornmann, Walter Littmann, and Walter Sextro. “Intensive Ultrasonic Cleaning of Surfaces by Means of Lead-Free Ultrasonic Transducer with Focussing Sonotrode,” 2025.","ieee":"T. Hemsel, C. Scheidemann, P. Bornmann, W. Littmann, and W. Sextro, “Intensive ultrasonic cleaning of surfaces by means of lead-free ultrasonic transducer with focussing sonotrode,” presented at the International Congress on Ultrasonics (ICU), Paderborn, Germany, 2025.","mla":"Hemsel, Tobias, et al. <i>Intensive Ultrasonic Cleaning of Surfaces by Means of Lead-Free Ultrasonic Transducer with Focussing Sonotrode</i>. 2025.","apa":"Hemsel, T., Scheidemann, C., Bornmann, P., Littmann, W., &#38; Sextro, W. (2025). <i>Intensive ultrasonic cleaning of surfaces by means of lead-free ultrasonic transducer with focussing sonotrode</i>. International Congress on Ultrasonics (ICU), Paderborn, Germany."},"type":"conference","department":[{"_id":"151"}],"oa":"1","file":[{"file_id":"64801","content_type":"application/pdf","file_name":"ICU_2025_Hemsel.pdf","access_level":"open_access","file_size":1946202,"relation":"main_file","date_updated":"2026-03-02T10:58:37Z","date_created":"2026-03-02T10:46:43Z","creator":"hemsel"}],"date_created":"2026-03-02T10:47:48Z","date_updated":"2026-03-02T10:58:37Z","has_accepted_license":"1","status":"public","year":"2025","title":"Intensive ultrasonic cleaning of surfaces by means of lead-free ultrasonic transducer with focussing sonotrode","author":[{"full_name":"Hemsel, Tobias","first_name":"Tobias","last_name":"Hemsel","id":"210"},{"id":"38259","full_name":"Scheidemann, Claus","first_name":"Claus","last_name":"Scheidemann"},{"first_name":"Peter","last_name":"Bornmann","full_name":"Bornmann, Peter"},{"first_name":"Walter","last_name":"Littmann","full_name":"Littmann, Walter"},{"id":"21220","last_name":"Sextro","first_name":"Walter","full_name":"Sextro, Walter"}],"conference":{"location":"Paderborn, Germany","start_date":"2025-09-21","name":"International Congress on Ultrasonics (ICU)","end_date":"2025-09-25"},"user_id":"210","ddc":["620"],"_id":"64800","language":[{"iso":"eng"}]},{"department":[{"_id":"151"}],"oa":"1","type":"conference","date_created":"2025-10-08T14:22:32Z","file":[{"file_name":"SHS25_IWPMA_2025.pdf","file_size":644147,"access_level":"open_access","relation":"main_file","date_updated":"2026-03-02T10:59:53Z","file_id":"63817","content_type":"application/pdf","creator":"hemsel","date_created":"2026-01-30T11:07:48Z"}],"project":[{"_id":"245","name":"FOR 5208: Modellbasierte Bestimmung nichtlinearer Eigenschaften von Piezokeramiken für Leistungsschallanwendungen (NEPTUN)"}],"citation":{"bibtex":"@inproceedings{Scheidemann_Hemsel_Sextro_2025, title={Time dependent material characteristics of prestressed piezoelectric ceramics in langevin transducers}, author={Scheidemann, Claus and Hemsel, Tobias and Sextro, Walter}, year={2025} }","short":"C. Scheidemann, T. Hemsel, W. Sextro, in: 2025.","ama":"Scheidemann C, Hemsel T, Sextro W. Time dependent material characteristics of prestressed piezoelectric ceramics in langevin transducers. In: ; 2025.","chicago":"Scheidemann, Claus, Tobias Hemsel, and Walter Sextro. “Time Dependent Material Characteristics of Prestressed Piezoelectric Ceramics in Langevin Transducers,” 2025.","ieee":"C. Scheidemann, T. Hemsel, and W. Sextro, “Time dependent material characteristics of prestressed piezoelectric ceramics in langevin transducers,” presented at the 22nd International Workshop on Piezoelectric Materials and Applications in Actuators (IWPMA), Vilnius, Lithuania, 2025.","mla":"Scheidemann, Claus, et al. <i>Time Dependent Material Characteristics of Prestressed Piezoelectric Ceramics in Langevin Transducers</i>. 2025.","apa":"Scheidemann, C., Hemsel, T., &#38; Sextro, W. (2025). <i>Time dependent material characteristics of prestressed piezoelectric ceramics in langevin transducers</i>. 22nd International Workshop on Piezoelectric Materials and Applications in Actuators (IWPMA), Vilnius, Lithuania."},"file_date_updated":"2026-03-02T10:59:53Z","user_id":"210","ddc":["620"],"_id":"61755","language":[{"iso":"eng"}],"has_accepted_license":"1","date_updated":"2026-03-02T10:59:53Z","author":[{"full_name":"Scheidemann, Claus","first_name":"Claus","last_name":"Scheidemann","id":"38259"},{"full_name":"Hemsel, Tobias","last_name":"Hemsel","first_name":"Tobias","id":"210"},{"id":"21220","first_name":"Walter","last_name":"Sextro","full_name":"Sextro, Walter"}],"conference":{"name":"22nd International Workshop on Piezoelectric Materials and Applications in Actuators (IWPMA)","start_date":"2025-07-1","location":"Vilnius, Lithuania","end_date":"2025-07-3"},"status":"public","title":"Time dependent material characteristics of prestressed piezoelectric ceramics in langevin transducers","year":"2025"},{"status":"public","year":"2025","title":"Investigation of the Setting Behaviour of Mechanically Biased Piezoelectric Ultrasonic Transducers","author":[{"first_name":"Claus","last_name":"Scheidemann","full_name":"Scheidemann, Claus","id":"38259"},{"full_name":"Porzenheim, Julius","first_name":"Julius","last_name":"Porzenheim"},{"id":"210","full_name":"Hemsel, Tobias","last_name":"Hemsel","first_name":"Tobias"},{"last_name":"Sextro","first_name":"Walter","full_name":"Sextro, Walter","id":"21220"}],"conference":{"start_date":"2025-09-21","name":"2025 International Congress on Ultrasonics (ICU)","location":"Paderborn, Germany","end_date":"2025-09-25"},"date_updated":"2026-03-02T10:59:36Z","has_accepted_license":"1","_id":"61757","language":[{"iso":"eng"}],"user_id":"210","ddc":["620"],"file_date_updated":"2026-03-02T10:59:36Z","citation":{"bibtex":"@inproceedings{Scheidemann_Porzenheim_Hemsel_Sextro_2025, title={Investigation of the Setting Behaviour of Mechanically Biased Piezoelectric Ultrasonic Transducers}, author={Scheidemann, Claus and Porzenheim, Julius and Hemsel, Tobias and Sextro, Walter}, year={2025} }","ama":"Scheidemann C, Porzenheim J, Hemsel T, Sextro W. Investigation of the Setting Behaviour of Mechanically Biased Piezoelectric Ultrasonic Transducers. In: ; 2025.","mla":"Scheidemann, Claus, et al. <i>Investigation of the Setting Behaviour of Mechanically Biased Piezoelectric Ultrasonic Transducers</i>. 2025.","chicago":"Scheidemann, Claus, Julius Porzenheim, Tobias Hemsel, and Walter Sextro. “Investigation of the Setting Behaviour of Mechanically Biased Piezoelectric Ultrasonic Transducers,” 2025.","short":"C. Scheidemann, J. Porzenheim, T. Hemsel, W. Sextro, in: 2025.","ieee":"C. Scheidemann, J. Porzenheim, T. Hemsel, and W. Sextro, “Investigation of the Setting Behaviour of Mechanically Biased Piezoelectric Ultrasonic Transducers,” presented at the 2025 International Congress on Ultrasonics (ICU), Paderborn, Germany, 2025.","apa":"Scheidemann, C., Porzenheim, J., Hemsel, T., &#38; Sextro, W. (2025). <i>Investigation of the Setting Behaviour of Mechanically Biased Piezoelectric Ultrasonic Transducers</i>. 2025 International Congress on Ultrasonics (ICU), Paderborn, Germany."},"project":[{"_id":"245","name":"FOR 5208: Modellbasierte Bestimmung nichtlinearer Eigenschaften von Piezokeramiken für Leistungsschallanwendungen (NEPTUN)"}],"file":[{"file_id":"63816","content_type":"application/pdf","file_name":"Sch25_ICU_2025.pdf","file_size":783790,"access_level":"open_access","relation":"main_file","date_updated":"2026-03-02T10:59:36Z","date_created":"2026-01-30T07:30:44Z","creator":"hemsel"}],"date_created":"2025-10-08T14:33:44Z","type":"conference","department":[{"_id":"151"}],"oa":"1"},{"date_created":"2026-03-02T12:02:08Z","file":[{"creator":"hemsel","date_created":"2026-03-02T12:01:28Z","file_size":1912154,"access_level":"closed","file_name":"Dohmen_UPB_LDM_IMAPS_2025.pdf","date_updated":"2026-03-02T12:01:28Z","relation":"main_file","success":1,"content_type":"application/pdf","file_id":"64805"}],"department":[{"_id":"151"}],"type":"conference","citation":{"ieee":"M. D. Dohmen, P. Bornmann, W. Littmann, T. Hemsel, and W. Sextro, “Modellgestützte Optimierung eines Ultraschall-Torsionsschweißsystems,” 2025.","apa":"Dohmen, M. D., Bornmann, P., Littmann, W., Hemsel, T., &#38; Sextro, W. (2025). <i>Modellgestützte Optimierung eines Ultraschall-Torsionsschweißsystems</i>.","mla":"Dohmen, Markus Daniel, et al. <i>Modellgestützte Optimierung Eines Ultraschall-Torsionsschweißsystems</i>. 2025.","bibtex":"@inproceedings{Dohmen_Bornmann_Littmann_Hemsel_Sextro_2025, title={Modellgestützte Optimierung eines Ultraschall-Torsionsschweißsystems}, author={Dohmen, Markus Daniel and Bornmann, Peter and Littmann, Walter and Hemsel, Tobias and Sextro, Walter}, year={2025} }","chicago":"Dohmen, Markus Daniel, Peter Bornmann, Walter Littmann, Tobias Hemsel, and Walter Sextro. “Modellgestützte Optimierung Eines Ultraschall-Torsionsschweißsystems,” 2025.","ama":"Dohmen MD, Bornmann P, Littmann W, Hemsel T, Sextro W. Modellgestützte Optimierung eines Ultraschall-Torsionsschweißsystems. In: ; 2025.","short":"M.D. Dohmen, P. Bornmann, W. Littmann, T. Hemsel, W. Sextro, in: 2025."},"file_date_updated":"2026-03-02T12:01:28Z","abstract":[{"lang":"ger","text":"Das Ultraschallschweißen ist in der Verpackungs-, Halbleiter- und Automobilindustrie weit verbreitet. Neben dem Schweißen von Blechen bietet es die Möglichkeit, Folien oder Hülsen zu verschweißen. Konventionelle Schweißsysteme arbeiten mit Längs- oder Biegeschwingungen, deren Hauptanteil in der Schweißebene liegt. Der orthogonale Anteil verursacht zusätzliche Belastungen im Schweißgut. Bei der Verwendung von Torsionsschwingungen wird die orthogonale Komponente der Schwingung nahezu eliminiert. \r\nIn diesem Beitrag wird ein System vorgestellt, bei dem die Torsionsschwingung durch tangentiale Polarisation der Piezokeramiken erzeugt wird. Der Transducer ist axial oberhalb des Schweißpunktes platziert, sodass die Normalkraft momentfrei aufgebracht wird. Das Schweißwerkzeug weicht beim Schweißvorgang daher seitlich nicht aus. Zudem wird das Schweißen an schwer zugänglichen Positionen vereinfacht, da der Systemaufbau deutlich schlanker ist als konventionelle Ultraschallschweißsysteme.\r\nDie Auslegung des Torsionsschwingsystems stellt eine Herausforderung dar. Insbesondere muss die Lagerung des Schwingers betrachtet werden, da diese die Normalkraft übertragen und zugleich die Schwingung nicht beeinträchtigen soll. Der Schweißprozess bewirkt eine Verschiebung von Schwingungsknoten und Resonanzfrequenzen. Im Rahmen des Vortrags wird ein Finite-Elemente-Simulationsmodell vorgestellt, das in Kombination mit einem Lastmodell das Systemverhalten während des Schweißprozesses abbildet. Die Geometrie des Transducers wurde schrittweise so angepasst, dass die Schwingamplitude im Lagerungspunkt minimiert wird.  \r\n"}],"language":[{"iso":"eng"}],"_id":"64804","ddc":["620"],"user_id":"210","author":[{"full_name":"Dohmen, Markus Daniel","first_name":"Markus Daniel","last_name":"Dohmen","id":"69217"},{"full_name":"Bornmann, Peter","first_name":"Peter","last_name":"Bornmann"},{"last_name":"Littmann","first_name":"Walter","full_name":"Littmann, Walter"},{"full_name":"Hemsel, Tobias","first_name":"Tobias","last_name":"Hemsel","id":"210"},{"id":"21220","full_name":"Sextro, Walter","first_name":"Walter","last_name":"Sextro"}],"title":"Modellgestützte Optimierung eines Ultraschall-Torsionsschweißsystems","status":"public","year":"2025","has_accepted_license":"1","date_updated":"2026-03-03T13:57:25Z"},{"publication":"Tire Science and Technology","citation":{"short":"L. Muth, R. Zharia, H. Sahin, W. Sextro, Tire Science and Technology (2025).","ama":"Muth L, Zharia R, Sahin H, Sextro W. Prediction of the Frictional Power Distribution in the Tire Contact Patch Based on an Empirical Tire Model and an Artificial Neural Network. <i>Tire Science and Technology</i>. Published online 2025. doi:<a href=\"https://doi.org/10.2346/TST-24-009\">https://doi.org/10.2346/TST-24-009</a>","chicago":"Muth, Lars, Raphael Zharia, Hürkan Sahin, and Walter Sextro. “Prediction of the Frictional Power Distribution in the Tire Contact Patch Based on an Empirical Tire Model and an Artificial Neural Network.” <i>Tire Science and Technology</i>, 2025. <a href=\"https://doi.org/10.2346/TST-24-009\">https://doi.org/10.2346/TST-24-009</a>.","bibtex":"@article{Muth_Zharia_Sahin_Sextro_2025, title={Prediction of the Frictional Power Distribution in the Tire Contact Patch Based on an Empirical Tire Model and an Artificial Neural Network}, DOI={<a href=\"https://doi.org/10.2346/TST-24-009\">https://doi.org/10.2346/TST-24-009</a>}, journal={Tire Science and Technology}, publisher={The Tire Society}, author={Muth, Lars and Zharia, Raphael and Sahin, Hürkan and Sextro, Walter}, year={2025} }","apa":"Muth, L., Zharia, R., Sahin, H., &#38; Sextro, W. (2025). Prediction of the Frictional Power Distribution in the Tire Contact Patch Based on an Empirical Tire Model and an Artificial Neural Network. <i>Tire Science and Technology</i>. <a href=\"https://doi.org/10.2346/TST-24-009\">https://doi.org/10.2346/TST-24-009</a>","mla":"Muth, Lars, et al. “Prediction of the Frictional Power Distribution in the Tire Contact Patch Based on an Empirical Tire Model and an Artificial Neural Network.” <i>Tire Science and Technology</i>, The Tire Society, 2025, doi:<a href=\"https://doi.org/10.2346/TST-24-009\">https://doi.org/10.2346/TST-24-009</a>.","ieee":"L. Muth, R. Zharia, H. Sahin, and W. Sextro, “Prediction of the Frictional Power Distribution in the Tire Contact Patch Based on an Empirical Tire Model and an Artificial Neural Network,” <i>Tire Science and Technology</i>, 2025, doi: <a href=\"https://doi.org/10.2346/TST-24-009\">https://doi.org/10.2346/TST-24-009</a>."},"abstract":[{"text":"To predict and prevent uneven tire wear in addition to a reduction of overall tire wear, it is essential to estimate not only the total amount of wear but also how the wear is distributed across the tire width. This requires knowledge of the frictional power distribution in the tire contact patch, which is the basis for calculating tire wear using a wear law. Usually, only 3D structural tire models can generate such distributed contact results. However, they involve high computational costs and cannot be used for comprehensive optimization of a vehicle’s suspension system with respect to tire wear characteristics. Hence, this contribution presents a methodology on how to accelerate the prediction of the frictional power distribution using two components: The structural tire model is replaced by an empirical tire model that on its own is not able to generate distributed contact results. Therefore, an artificial neural network is trained to predict the desired contact results from the kinematic quantities calculated by the empirical tire model. In the initial training phase, both components are fitted to data generated by the original complex tire model. After training, the empirical tire model can replace the structural tire model in vehicle simulations, resulting in significantly shorter calculation times. The simulation results are fed into the artificial neural network, which predicts the frictional power distributions over the tire width with negligible additional effort. Overall, the methodology reduces calculation time for the prediction of tire wear based on virtual test drives to approximately 25% of the time needed when using structural tire models.","lang":"eng"}],"quality_controlled":"1","extern":"1","date_created":"2025-02-10T19:54:28Z","type":"journal_article","department":[{"_id":"151"},{"_id":"9"}],"status":"public","year":"2025","title":"Prediction of the Frictional Power Distribution in the Tire Contact Patch Based on an Empirical Tire Model and an Artificial Neural Network","author":[{"last_name":"Muth","orcid":"0000-0002-2938-5616","first_name":"Lars","full_name":"Muth, Lars","id":"77313"},{"full_name":"Zharia, Raphael","first_name":"Raphael","last_name":"Zharia"},{"last_name":"Sahin","first_name":"Hürkan","full_name":"Sahin, Hürkan"},{"id":"21220","first_name":"Walter","last_name":"Sextro","full_name":"Sextro, Walter"}],"date_updated":"2025-02-27T19:53:09Z","publication_status":"epub_ahead","article_type":"original","language":[{"iso":"eng"}],"_id":"58556","publisher":"The Tire Society","doi":"https://doi.org/10.2346/TST-24-009","user_id":"77313"},{"status":"public","title":"Facilitating the Automated Generation of Data-Driven Models for the Diagnostics and Prognostics of Technical Systems","year":"2025","conference":{"name":"2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)","location":"Porto"},"author":[{"full_name":"Löwen, Alexander","first_name":"Alexander","last_name":"Löwen","id":"47233"},{"last_name":"Quirin","first_name":"Dennis","full_name":"Quirin, Dennis"},{"full_name":"Hesse, Marc","first_name":"Marc","last_name":"Hesse"},{"full_name":"Aimiyekagbon, Osarenren Kennedy","first_name":"Osarenren Kennedy","last_name":"Aimiyekagbon","id":"9557"},{"last_name":"Sextro","first_name":"Walter","full_name":"Sextro, Walter","id":"21220"}],"date_updated":"2026-09-23T11:20:15Z","publication_status":"published","publisher":"IEEE","_id":"63193","language":[{"iso":"eng"}],"doi":"10.1109/etfa65518.2025.11205799","user_id":"47233","publication":"2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)","citation":{"mla":"Löwen, Alexander, et al. “Facilitating the Automated Generation of Data-Driven Models for the Diagnostics and Prognostics of Technical Systems.” <i>2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, IEEE, 2025, doi:<a href=\"https://doi.org/10.1109/etfa65518.2025.11205799\">10.1109/etfa65518.2025.11205799</a>.","bibtex":"@inproceedings{Löwen_Quirin_Hesse_Aimiyekagbon_Sextro_2025, title={Facilitating the Automated Generation of Data-Driven Models for the Diagnostics and Prognostics of Technical Systems}, DOI={<a href=\"https://doi.org/10.1109/etfa65518.2025.11205799\">10.1109/etfa65518.2025.11205799</a>}, booktitle={2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)}, publisher={IEEE}, author={Löwen, Alexander and Quirin, Dennis and Hesse, Marc and Aimiyekagbon, Osarenren Kennedy and Sextro, Walter}, year={2025} }","ama":"Löwen A, Quirin D, Hesse M, Aimiyekagbon OK, Sextro W. Facilitating the Automated Generation of Data-Driven Models for the Diagnostics and Prognostics of Technical Systems. In: <i>2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. IEEE; 2025. doi:<a href=\"https://doi.org/10.1109/etfa65518.2025.11205799\">10.1109/etfa65518.2025.11205799</a>","ieee":"A. Löwen, D. Quirin, M. Hesse, O. K. Aimiyekagbon, and W. Sextro, “Facilitating the Automated Generation of Data-Driven Models for the Diagnostics and Prognostics of Technical Systems,” presented at the 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA), Porto, 2025, doi: <a href=\"https://doi.org/10.1109/etfa65518.2025.11205799\">10.1109/etfa65518.2025.11205799</a>.","apa":"Löwen, A., Quirin, D., Hesse, M., Aimiyekagbon, O. K., &#38; Sextro, W. (2025). Facilitating the Automated Generation of Data-Driven Models for the Diagnostics and Prognostics of Technical Systems. <i>2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA), Porto. <a href=\"https://doi.org/10.1109/etfa65518.2025.11205799\">https://doi.org/10.1109/etfa65518.2025.11205799</a>","short":"A. Löwen, D. Quirin, M. Hesse, O.K. Aimiyekagbon, W. Sextro, in: 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2025.","chicago":"Löwen, Alexander, Dennis Quirin, Marc Hesse, Osarenren Kennedy Aimiyekagbon, and Walter Sextro. “Facilitating the Automated Generation of Data-Driven Models for the Diagnostics and Prognostics of Technical Systems.” In <i>2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. IEEE, 2025. <a href=\"https://doi.org/10.1109/etfa65518.2025.11205799\">https://doi.org/10.1109/etfa65518.2025.11205799</a>."},"abstract":[{"lang":"eng","text":"The integration of data-driven models and specifically machine learning for conditon monitoring and predictive maintenance into companies, especially small and medium-sized enterprises, offers significant opportunities in reducing costs, operating more sustainably, and maintaining long-term competitiveness. However, many small and medium-sized enterprises lack the necessary resources and expertise to derive knowledge from data and integrate their own machine learning based solutions. To address this challenge, a framework is presented that enables the automated generation of data-driven models with a particular focus on condition monitoring and predictive maintenance, but applicable to other use cases as well. Using a dataset from the 2022 data challenge of the prognostics and health management society, it is demonstrated that the framework can generate high-performing models, achieving F1-scores up to 0.998, exemplarily for a classification task."}],"related_material":{"link":[{"url":"https://gitlab.ub.uni-bielefeld.de/ml4proflow/modules/ml4proflow-mods-ldm","relation":"software"}]},"project":[{"_id":"1483","name":"Industrie 4.0 Ökosystem für den automatisierten Einsatz von datengetriebenen Services (I4.0AutoServ)"}],"date_created":"2025-12-18T09:07:38Z","type":"conference","department":[{"_id":"151"}]},{"intvolume":"        45","date_updated":"2026-10-07T11:25:00Z","author":[{"full_name":"de Payrebrune, Kristin M.","last_name":"de Payrebrune","first_name":"Kristin M."},{"last_name":"Flaßkamp","first_name":"Kathrin","full_name":"Flaßkamp, Kathrin"},{"first_name":"Tom","last_name":"Ströhla","full_name":"Ströhla, Tom"},{"full_name":"Sattel, Thomas","last_name":"Sattel","first_name":"Thomas"},{"full_name":"Bestle, Dieter","first_name":"Dieter","last_name":"Bestle"},{"last_name":"Röder","first_name":"Benedict","full_name":"Röder, Benedict"},{"first_name":"Peter","last_name":"Eberhard","full_name":"Eberhard, Peter"},{"full_name":"Peitz, Sebastian","orcid":"0000-0002-3389-793X","last_name":"Peitz","first_name":"Sebastian","id":"47427"},{"full_name":"Stoffel, Marcus","last_name":"Stoffel","first_name":"Marcus"},{"full_name":"Rutwik, Gulakala","first_name":"Gulakala","last_name":"Rutwik"},{"full_name":"Aditya, Borse","last_name":"Aditya","first_name":"Borse"},{"full_name":"Wohlleben, Meike Claudia","last_name":"Wohlleben","orcid":"0009-0009-9767-7168","first_name":"Meike Claudia","id":"43991"},{"id":"21220","first_name":"Walter","last_name":"Sextro","full_name":"Sextro, Walter"},{"full_name":"Raff, Maximilian","last_name":"Raff","first_name":"Maximilian"},{"full_name":"Remy, C. David","first_name":"C. David","last_name":"Remy"},{"first_name":"Manish","last_name":"Yadav","full_name":"Yadav, Manish"},{"full_name":"Stender, Merten","last_name":"Stender","first_name":"Merten"},{"full_name":"van Delden, Jan","first_name":"Jan","last_name":"van Delden"},{"last_name":"Lüddecke","first_name":"Timo","full_name":"Lüddecke, Timo"},{"full_name":"Langer, Sabine C.","last_name":"Langer","first_name":"Sabine C."},{"full_name":"Schultz, Julius","last_name":"Schultz","first_name":"Julius"},{"full_name":"Blech, Christopher","first_name":"Christopher","last_name":"Blech"}],"title":"The impact of AI on engineering design procedures for dynamical systems","year":"2025","status":"public","volume":45,"doi":"10.24352/UB.OVGU-2025-037","user_id":"43991","language":[{"iso":"eng"}],"_id":"57829","page":"1-23","quality_controlled":"1","abstract":[{"lang":"eng","text":"Artificial intelligence (AI) is driving transformative changes across numerous fields, revolutionizing conventional processes and creating new opportunities for innovation. The development of mechatronic systems is undergoing a similar transformation. Over the past decade, modeling, simulation, and optimization techniques have become integral to the design process, paving the way for the adoption of AI-based methods. In this paper, we examine the potential for integrating AI into the engineering design process, using the V-model from the VDI guideline 2206, considered the state-of-the-art in product design, as a foundation. We identify and classify AI methods based on their suitability for specific stages within the engineering product design workflow. Furthermore, we present a series of application examples where AI-assisted design has been successfully implemented by the authors. These examples, drawn from research projects within the DFG Priority Program \\emph{SPP~2353: Daring More Intelligence - Design Assistants in Mechanics and Dynamics}, showcase a diverse range of applications across mechanics and mechatronics, including areas such as acoustics and robotics."}],"citation":{"apa":"de Payrebrune, K. M., Flaßkamp, K., Ströhla, T., Sattel, T., Bestle, D., Röder, B., Eberhard, P., Peitz, S., Stoffel, M., Rutwik, G., Aditya, B., Wohlleben, M. C., Sextro, W., Raff, M., Remy, C. D., Yadav, M., Stender, M., van Delden, J., Lüddecke, T., … Blech, C. (2025). The impact of AI on engineering design procedures for dynamical systems. <i>Technische Mechanik - European Journal of Engineering Mechanics</i>, <i>45</i>(1), 1–23. <a href=\"https://doi.org/10.24352/UB.OVGU-2025-037\">https://doi.org/10.24352/UB.OVGU-2025-037</a>","ieee":"K. M. de Payrebrune <i>et al.</i>, “The impact of AI on engineering design procedures for dynamical systems,” <i>Technische Mechanik - European Journal of Engineering Mechanics</i>, vol. 45, no. 1, pp. 1–23, 2025, doi: <a href=\"https://doi.org/10.24352/UB.OVGU-2025-037\">10.24352/UB.OVGU-2025-037</a>.","chicago":"Payrebrune, Kristin M. de, Kathrin Flaßkamp, Tom Ströhla, Thomas Sattel, Dieter Bestle, Benedict Röder, Peter Eberhard, et al. “The Impact of AI on Engineering Design Procedures for Dynamical Systems.” <i>Technische Mechanik - European Journal of Engineering Mechanics</i> 45, no. 1 (2025): 1–23. <a href=\"https://doi.org/10.24352/UB.OVGU-2025-037\">https://doi.org/10.24352/UB.OVGU-2025-037</a>.","short":"K.M. de Payrebrune, K. Flaßkamp, T. Ströhla, T. Sattel, D. Bestle, B. Röder, P. Eberhard, S. Peitz, M. Stoffel, G. Rutwik, B. Aditya, M.C. Wohlleben, W. Sextro, M. Raff, C.D. Remy, M. Yadav, M. Stender, J. van Delden, T. Lüddecke, S.C. Langer, J. Schultz, C. Blech, Technische Mechanik - European Journal of Engineering Mechanics 45 (2025) 1–23.","mla":"de Payrebrune, Kristin M., et al. “The Impact of AI on Engineering Design Procedures for Dynamical Systems.” <i>Technische Mechanik - European Journal of Engineering Mechanics</i>, vol. 45, no. 1, 2025, pp. 1–23, doi:<a href=\"https://doi.org/10.24352/UB.OVGU-2025-037\">10.24352/UB.OVGU-2025-037</a>.","ama":"de Payrebrune KM, Flaßkamp K, Ströhla T, et al. The impact of AI on engineering design procedures for dynamical systems. <i>Technische Mechanik - European Journal of Engineering Mechanics</i>. 2025;45(1):1-23. doi:<a href=\"https://doi.org/10.24352/UB.OVGU-2025-037\">10.24352/UB.OVGU-2025-037</a>","bibtex":"@article{de Payrebrune_Flaßkamp_Ströhla_Sattel_Bestle_Röder_Eberhard_Peitz_Stoffel_Rutwik_et al._2025, title={The impact of AI on engineering design procedures for dynamical systems}, volume={45}, DOI={<a href=\"https://doi.org/10.24352/UB.OVGU-2025-037\">10.24352/UB.OVGU-2025-037</a>}, number={1}, journal={Technische Mechanik - European Journal of Engineering Mechanics}, author={de Payrebrune, Kristin M. and Flaßkamp, Kathrin and Ströhla, Tom and Sattel, Thomas and Bestle, Dieter and Röder, Benedict and Eberhard, Peter and Peitz, Sebastian and Stoffel, Marcus and Rutwik, Gulakala and et al.}, year={2025}, pages={1–23} }"},"issue":"1","publication":"Technische Mechanik - European Journal of Engineering Mechanics","type":"journal_article","date_created":"2024-12-18T09:07:41Z"},{"abstract":[{"lang":"eng","text":"In applications of piezoelectric actuators and sensors, the dependability and particularly the reliability throughout their lifetime are vital to manufacturers and end-users and are enabled through condition-monitoring approaches. Existing approaches often utilize impedance measurements over a range of frequencies or velocity measurements and require additional equipment or sensors, such as a laser Doppler vibrometer. Furthermore, the non-negligible effects of varying operating conditions are often unconsidered. To minimize the need for additional sensors while maintaining the dependability of piezoelectric bending actuators irrespective of varying operating conditions, an online diagnostics approach is proposed. To this end, time- and frequency-domain features are extracted from monitored current signals to reflect hairline crack development in bending actuators. For validation of applicability, the presented analysis method was evaluated on piezoelectric bending actuators subjected to accelerated lifetime tests at varying voltage amplitudes and under external damping conditions. In the presence of a crack and due to a diminished stiffness, the resonance frequency decreases and the root-mean-square amplitude of the current signal simultaneously abruptly drops during the lifetime tests. Furthermore, the piezoelectric crack surfaces clapping is reflected in higher harmonics of the current signal. Thus, time-domain features and harmonics of the current signals are sufficient to diagnose hairline cracks in the actuators."}],"issue":"3","publication":"Electronics","type":"journal_article","keyword":["piezoelectric transducer","self-sensing","fault detection","diagnostics","hairline crack","condition monitoring"],"department":[{"_id":"151"}],"date_created":"2024-02-20T06:46:43Z","date_updated":"2024-03-15T16:15:56Z","publication_status":"published","intvolume":"        13","article_type":"original","title":"Diagnostics of Piezoelectric Bending Actuators Subjected to Varying Operating Conditions","year":"2024","publication_identifier":{"issn":["2079-9292"]},"author":[{"id":"9557","last_name":"Aimiyekagbon","first_name":"Osarenren Kennedy","full_name":"Aimiyekagbon, Osarenren Kennedy"},{"id":"54290","first_name":"Amelie","last_name":"Bender","full_name":"Bender, Amelie"},{"full_name":"Hemsel, Tobias","last_name":"Hemsel","first_name":"Tobias","id":"210"},{"id":"21220","full_name":"Sextro, Walter","last_name":"Sextro","first_name":"Walter"}],"doi":"10.3390/electronics13030521","article_number":"521","language":[{"iso":"eng"}],"quality_controlled":"1","citation":{"short":"O.K. Aimiyekagbon, A. Bender, T. Hemsel, W. Sextro, Electronics 13 (2024).","chicago":"Aimiyekagbon, Osarenren Kennedy, Amelie Bender, Tobias Hemsel, and Walter Sextro. “Diagnostics of Piezoelectric Bending Actuators Subjected to Varying Operating Conditions.” <i>Electronics</i> 13, no. 3 (2024). <a href=\"https://doi.org/10.3390/electronics13030521\">https://doi.org/10.3390/electronics13030521</a>.","ieee":"O. K. Aimiyekagbon, A. Bender, T. Hemsel, and W. Sextro, “Diagnostics of Piezoelectric Bending Actuators Subjected to Varying Operating Conditions,” <i>Electronics</i>, vol. 13, no. 3, Art. no. 521, 2024, doi: <a href=\"https://doi.org/10.3390/electronics13030521\">10.3390/electronics13030521</a>.","apa":"Aimiyekagbon, O. K., Bender, A., Hemsel, T., &#38; Sextro, W. (2024). Diagnostics of Piezoelectric Bending Actuators Subjected to Varying Operating Conditions. <i>Electronics</i>, <i>13</i>(3), Article 521. <a href=\"https://doi.org/10.3390/electronics13030521\">https://doi.org/10.3390/electronics13030521</a>","bibtex":"@article{Aimiyekagbon_Bender_Hemsel_Sextro_2024, title={Diagnostics of Piezoelectric Bending Actuators Subjected to Varying Operating Conditions}, volume={13}, DOI={<a href=\"https://doi.org/10.3390/electronics13030521\">10.3390/electronics13030521</a>}, number={3521}, journal={Electronics}, publisher={MDPI AG}, author={Aimiyekagbon, Osarenren Kennedy and Bender, Amelie and Hemsel, Tobias and Sextro, Walter}, year={2024} }","ama":"Aimiyekagbon OK, Bender A, Hemsel T, Sextro W. Diagnostics of Piezoelectric Bending Actuators Subjected to Varying Operating Conditions. <i>Electronics</i>. 2024;13(3). doi:<a href=\"https://doi.org/10.3390/electronics13030521\">10.3390/electronics13030521</a>","mla":"Aimiyekagbon, Osarenren Kennedy, et al. “Diagnostics of Piezoelectric Bending Actuators Subjected to Varying Operating Conditions.” <i>Electronics</i>, vol. 13, no. 3, 521, MDPI AG, 2024, doi:<a href=\"https://doi.org/10.3390/electronics13030521\">10.3390/electronics13030521</a>."},"status":"public","user_id":"9557","volume":13,"publisher":"MDPI AG","_id":"51518","funded_apc":"1"},{"quality_controlled":"1","abstract":[{"lang":"eng","text":"Predicting the remaining useful life of technical \r\nsystems has gained significant attention in recent years due to \r\nincreasing demands for extending the lifespan of degrading system \r\ncomponents. Therefore, already used systems are retrofitted by \r\nintegrating sensors to monitor their performance and \r\nfunctionality, enabling accurate diagnosis of their condition and \r\nprediction of their remaining useful life. One of the main \r\nchallenges in this field is identified in the missing data from the \r\ntime where the retrofitted system has already run but without \r\nbeing monitored by sensors. In this paper, a novel approach for \r\nthe combined diagnostics and prognostics of retrofitted systems is \r\nproposed. The methodology aims to provide an accurate diagnosis \r\nof the system’s health state and estimation of the remaining useful \r\nlife by a combination of a machine learning and expert knowledge. \r\nTo evaluate the effectiveness of the proposed methodology, a case \r\nstudy involving a retrofitted system in an industrial setting is \r\nselected and applied. It is demonstrated that the approach \r\neffectively diagnose the current system’s health state and \r\naccurately predict its remaining useful life, thereby enabling \r\npredictive maintenance and decision-making. Overall, our \r\nresearch contributes to advancing the field of condition \r\nmonitoring for retrofitted systems by providing a comprehensive \r\nmethodology that addresses the challenge of missing data."}],"citation":{"chicago":"Bender, Amelie, Osarenren Kennedy Aimiyekagbon, and Walter Sextro. “Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment.” In <i>Proceedings of the 2024 Prognostics and System Health Management Conference (PHM)</i>. IEEE Computer Society, 2024. <a href=\"https://doi.org/10.1109/PHM61473.2024.00038\">https://doi.org/10.1109/PHM61473.2024.00038</a>.","short":"A. Bender, O.K. Aimiyekagbon, W. Sextro, in: Proceedings of the 2024 Prognostics and System Health Management Conference (PHM), IEEE Computer Society, 2024.","apa":"Bender, A., Aimiyekagbon, O. K., &#38; Sextro, W. (2024). Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment. <i>Proceedings of the 2024 Prognostics and System Health Management Conference (PHM)</i>. 2024 Prognostics and System Health Management Conference (PHM), Stockholm, Schweden. <a href=\"https://doi.org/10.1109/PHM61473.2024.00038\">https://doi.org/10.1109/PHM61473.2024.00038</a>","ieee":"A. Bender, O. K. Aimiyekagbon, and W. Sextro, “Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment,” presented at the 2024 Prognostics and System Health Management Conference (PHM), Stockholm, Schweden, 2024, doi: <a href=\"https://doi.org/10.1109/PHM61473.2024.00038\">10.1109/PHM61473.2024.00038</a>.","ama":"Bender A, Aimiyekagbon OK, Sextro W. Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment. In: <i>Proceedings of the 2024 Prognostics and System Health Management Conference (PHM)</i>. IEEE Computer Society; 2024. doi:<a href=\"https://doi.org/10.1109/PHM61473.2024.00038\">10.1109/PHM61473.2024.00038</a>","bibtex":"@inproceedings{Bender_Aimiyekagbon_Sextro_2024, title={Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment}, DOI={<a href=\"https://doi.org/10.1109/PHM61473.2024.00038\">10.1109/PHM61473.2024.00038</a>}, booktitle={Proceedings of the 2024 Prognostics and System Health Management Conference (PHM)}, publisher={IEEE Computer Society}, author={Bender, Amelie and Aimiyekagbon, Osarenren Kennedy and Sextro, Walter}, year={2024} }","mla":"Bender, Amelie, et al. “Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment.” <i>Proceedings of the 2024 Prognostics and System Health Management Conference (PHM)</i>, IEEE Computer Society, 2024, doi:<a href=\"https://doi.org/10.1109/PHM61473.2024.00038\">10.1109/PHM61473.2024.00038</a>."},"publication":"Proceedings of the 2024 Prognostics and System Health Management Conference (PHM)","department":[{"_id":"151"}],"keyword":["retrofit","diagnosis","prognostics","RUL prediction","missing data","ball bearings"],"type":"conference","date_created":"2024-07-22T09:27:57Z","date_updated":"2024-07-22T09:29:26Z","conference":{"end_date":"2024-05-31","location":"Stockholm, Schweden","start_date":"2024-05-28","name":"2024 Prognostics and System Health Management Conference (PHM)"},"publication_identifier":{"isbn":["979-8-3503-6058-5"]},"author":[{"id":"54290","full_name":"Bender, Amelie","last_name":"Bender","first_name":"Amelie"},{"id":"9557","full_name":"Aimiyekagbon, Osarenren Kennedy","last_name":"Aimiyekagbon","first_name":"Osarenren Kennedy"},{"first_name":"Walter","last_name":"Sextro","full_name":"Sextro, Walter","id":"21220"}],"year":"2024","title":"Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment","status":"public","doi":"10.1109/PHM61473.2024.00038","user_id":"54290","language":[{"iso":"eng"}],"_id":"55336","publisher":"IEEE Computer Society"},{"title":"Towards a One-Stop-Shop Solution for the Application of Data-Driven Value-Adding Services in Production","status":"public","year":"2024","author":[{"first_name":"Magnus","last_name":"Redeker","full_name":"Redeker, Magnus"},{"full_name":"Quirin, Dennis","first_name":"Dennis","last_name":"Quirin"},{"first_name":"Rafael","last_name":"Schroeder","full_name":"Schroeder, Rafael"},{"first_name":"Tobias","last_name":"Klausmann","full_name":"Klausmann, Tobias"},{"id":"47233","first_name":"Alexander","last_name":"Löwen","full_name":"Löwen, Alexander"},{"last_name":"Wollbrink","first_name":"Alexander","full_name":"Wollbrink, Alexander"},{"full_name":"Stichweh, Heiko","last_name":"Stichweh","first_name":"Heiko"},{"last_name":"Althoff","first_name":"Simon","full_name":"Althoff, Simon"},{"id":"54290","last_name":"Bender","first_name":"Amelie","full_name":"Bender, Amelie"},{"full_name":"Sextro, Walter","first_name":"Walter","last_name":"Sextro","id":"21220"},{"first_name":"Marc","last_name":"Hesse","full_name":"Hesse, Marc"}],"publication_status":"published","date_updated":"2024-11-04T12:34:48Z","intvolume":"        13","main_file_link":[{"open_access":"1","url":"https://ieeexplore.ieee.org/document/10711095"}],"publisher":"IEEE","_id":"56862","language":[{"iso":"eng"}],"user_id":"47233","doi":"10.1109/etfa61755.2024.10711095","volume":13,"publication":"2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)","citation":{"bibtex":"@inproceedings{Redeker_Quirin_Schroeder_Klausmann_Löwen_Wollbrink_Stichweh_Althoff_Bender_Sextro_et al._2024, title={Towards a One-Stop-Shop Solution for the Application of Data-Driven Value-Adding Services in Production}, volume={13}, DOI={<a href=\"https://doi.org/10.1109/etfa61755.2024.10711095\">10.1109/etfa61755.2024.10711095</a>}, booktitle={2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)}, publisher={IEEE}, author={Redeker, Magnus and Quirin, Dennis and Schroeder, Rafael and Klausmann, Tobias and Löwen, Alexander and Wollbrink, Alexander and Stichweh, Heiko and Althoff, Simon and Bender, Amelie and Sextro, Walter and et al.}, year={2024} }","ama":"Redeker M, Quirin D, Schroeder R, et al. Towards a One-Stop-Shop Solution for the Application of Data-Driven Value-Adding Services in Production. In: <i>2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. Vol 13. IEEE; 2024. doi:<a href=\"https://doi.org/10.1109/etfa61755.2024.10711095\">10.1109/etfa61755.2024.10711095</a>","mla":"Redeker, Magnus, et al. “Towards a One-Stop-Shop Solution for the Application of Data-Driven Value-Adding Services in Production.” <i>2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, vol. 13, IEEE, 2024, doi:<a href=\"https://doi.org/10.1109/etfa61755.2024.10711095\">10.1109/etfa61755.2024.10711095</a>.","short":"M. Redeker, D. Quirin, R. Schroeder, T. Klausmann, A. Löwen, A. Wollbrink, H. Stichweh, S. Althoff, A. Bender, W. Sextro, M. Hesse, in: 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2024.","chicago":"Redeker, Magnus, Dennis Quirin, Rafael Schroeder, Tobias Klausmann, Alexander Löwen, Alexander Wollbrink, Heiko Stichweh, et al. “Towards a One-Stop-Shop Solution for the Application of Data-Driven Value-Adding Services in Production.” In <i>2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, Vol. 13. IEEE, 2024. <a href=\"https://doi.org/10.1109/etfa61755.2024.10711095\">https://doi.org/10.1109/etfa61755.2024.10711095</a>.","ieee":"M. Redeker <i>et al.</i>, “Towards a One-Stop-Shop Solution for the Application of Data-Driven Value-Adding Services in Production,” in <i>2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, 2024, vol. 13, doi: <a href=\"https://doi.org/10.1109/etfa61755.2024.10711095\">10.1109/etfa61755.2024.10711095</a>.","apa":"Redeker, M., Quirin, D., Schroeder, R., Klausmann, T., Löwen, A., Wollbrink, A., Stichweh, H., Althoff, S., Bender, A., Sextro, W., &#38; Hesse, M. (2024). Towards a One-Stop-Shop Solution for the Application of Data-Driven Value-Adding Services in Production. <i>2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, <i>13</i>. <a href=\"https://doi.org/10.1109/etfa61755.2024.10711095\">https://doi.org/10.1109/etfa61755.2024.10711095</a>"},"date_created":"2024-11-04T12:30:48Z","type":"conference","oa":"1"},{"publication_identifier":{"isbn":["978-1-936263-40-0"]},"author":[{"id":"47233","first_name":"Alexander","last_name":"Löwen","full_name":"Löwen, Alexander"},{"full_name":"Wissbrock, Peter","last_name":"Wissbrock","first_name":"Peter"},{"full_name":"Bender, Amelie","first_name":"Amelie","last_name":"Bender","id":"54290"},{"first_name":"Walter","last_name":"Sextro","full_name":"Sextro, Walter","id":"21220"}],"title":"Filter-based feature selection for prognostics incorporating cross correlations and failure thresholds","year":"2024","intvolume":"         8","date_updated":"2025-02-10T10:58:57Z","publication_status":"published","language":[{"iso":"eng"}],"doi":"10.36001/phme.2024.v8i1.4075","issue":"1","publication":"PHM Society European Conference","related_material":{"link":[{"relation":"confirmation","url":"https://papers.phmsociety.org/index.php/phme/article/download/4075/2477"}]},"abstract":[{"lang":"eng","text":"<jats:p>Historical condition monitoring data from technical systems can be utilized to develop data-driven models for predicting the remaining useful life (RUL) of similar systems, whereas the Health Index (HI) often is a crucial component. The development of robust and accurate models requires meaningful features that reflect the system’s degradation process, enabling an accurate prediction of the system's HI. Traditionally, the identification of those is supported by one of various feature ranking methods. In literature, feature interdependencies and their transferability across various similar systems are not sufficiently considered in feature selection, exacerbating the challenge of HI prediction posed by the scarcity of data and system diversity in real-world applications. This work addresses this gaps by demonstrating how filter-based feature selection, incorporating failure thresholds and cross correlations, enhances feature selection leading to improved HI prediction. The proposed methodology is applied to a novel dataset* obtained from run-to-failure experiments on geared motors conducted as part of this study, which presents the aforementioned challenges. It is revealed that classical feature selection, consisting of feature ranking only, leaves potential untapped, which is utilized by the proposed selection methodology. It is shown that the proposed feature selection methodology leads to the best result with a RMSE of 0.14 in predicting the HI of a constructive different gearbox, while the features, determined by classical feature selection, lead to a RMSE of 0.19 at best.</jats:p>"}],"date_created":"2024-08-08T09:22:33Z","department":[{"_id":"151"}],"type":"journal_article","conference":{"name":"8th European Conference of the Prognostics and Health Management Society 2024","start_date":"2024-07-03","location":"Prague","end_date":"2024-07-05"},"status":"public","publisher":"PHM Society","_id":"55568","page":"955-964","volume":8,"user_id":"47233","citation":{"bibtex":"@article{Löwen_Wissbrock_Bender_Sextro_2024, title={Filter-based feature selection for prognostics incorporating cross correlations and failure thresholds}, volume={8}, DOI={<a href=\"https://doi.org/10.36001/phme.2024.v8i1.4075\">10.36001/phme.2024.v8i1.4075</a>}, number={1}, journal={PHM Society European Conference}, publisher={PHM Society}, author={Löwen, Alexander and Wissbrock, Peter and Bender, Amelie and Sextro, Walter}, year={2024}, pages={955–964} }","short":"A. Löwen, P. Wissbrock, A. Bender, W. Sextro, PHM Society European Conference 8 (2024) 955–964.","ama":"Löwen A, Wissbrock P, Bender A, Sextro W. Filter-based feature selection for prognostics incorporating cross correlations and failure thresholds. <i>PHM Society European Conference</i>. 2024;8(1):955-964. doi:<a href=\"https://doi.org/10.36001/phme.2024.v8i1.4075\">10.36001/phme.2024.v8i1.4075</a>","chicago":"Löwen, Alexander, Peter Wissbrock, Amelie Bender, and Walter Sextro. “Filter-Based Feature Selection for Prognostics Incorporating Cross Correlations and Failure Thresholds.” <i>PHM Society European Conference</i> 8, no. 1 (2024): 955–64. <a href=\"https://doi.org/10.36001/phme.2024.v8i1.4075\">https://doi.org/10.36001/phme.2024.v8i1.4075</a>.","ieee":"A. Löwen, P. Wissbrock, A. Bender, and W. Sextro, “Filter-based feature selection for prognostics incorporating cross correlations and failure thresholds,” <i>PHM Society European Conference</i>, vol. 8, no. 1, pp. 955–964, 2024, doi: <a href=\"https://doi.org/10.36001/phme.2024.v8i1.4075\">10.36001/phme.2024.v8i1.4075</a>.","apa":"Löwen, A., Wissbrock, P., Bender, A., &#38; Sextro, W. (2024). Filter-based feature selection for prognostics incorporating cross correlations and failure thresholds. <i>PHM Society European Conference</i>, <i>8</i>(1), 955–964. <a href=\"https://doi.org/10.36001/phme.2024.v8i1.4075\">https://doi.org/10.36001/phme.2024.v8i1.4075</a>","mla":"Löwen, Alexander, et al. “Filter-Based Feature Selection for Prognostics Incorporating Cross Correlations and Failure Thresholds.” <i>PHM Society European Conference</i>, vol. 8, no. 1, PHM Society, 2024, pp. 955–64, doi:<a href=\"https://doi.org/10.36001/phme.2024.v8i1.4075\">10.36001/phme.2024.v8i1.4075</a>."},"quality_controlled":"1"},{"quality_controlled":"1","citation":{"chicago":"Javanmardi, Alireza, Osarenren Kennedy Aimiyekagbon, Amelie Bender, James Kuria Kimotho, Walter Sextro, and Eyke Hüllermeier. “Remaining Useful Lifetime Estimation of Bearings Operating under Time-Varying Conditions.” In <i>PHM Society European Conference</i>, Vol. 8. PHM Society, 2024. <a href=\"https://doi.org/10.36001/phme.2024.v8i1.4101\">https://doi.org/10.36001/phme.2024.v8i1.4101</a>.","short":"A. Javanmardi, O.K. Aimiyekagbon, A. Bender, J.K. Kimotho, W. Sextro, E. Hüllermeier, in: PHM Society European Conference, PHM Society, 2024.","ama":"Javanmardi A, Aimiyekagbon OK, Bender A, Kimotho JK, Sextro W, Hüllermeier E. Remaining Useful Lifetime Estimation of Bearings Operating under Time-Varying Conditions. In: <i>PHM Society European Conference</i>. Vol 8. PHM Society; 2024. doi:<a href=\"https://doi.org/10.36001/phme.2024.v8i1.4101\">10.36001/phme.2024.v8i1.4101</a>","bibtex":"@inproceedings{Javanmardi_Aimiyekagbon_Bender_Kimotho_Sextro_Hüllermeier_2024, title={Remaining Useful Lifetime Estimation of Bearings Operating under Time-Varying Conditions}, volume={8}, DOI={<a href=\"https://doi.org/10.36001/phme.2024.v8i1.4101\">10.36001/phme.2024.v8i1.4101</a>}, number={19}, booktitle={PHM Society European Conference}, publisher={PHM Society}, author={Javanmardi, Alireza and Aimiyekagbon, Osarenren Kennedy and Bender, Amelie and Kimotho, James Kuria and Sextro, Walter and Hüllermeier, Eyke}, year={2024} }","apa":"Javanmardi, A., Aimiyekagbon, O. K., Bender, A., Kimotho, J. K., Sextro, W., &#38; Hüllermeier, E. (2024). Remaining Useful Lifetime Estimation of Bearings Operating under Time-Varying Conditions. <i>PHM Society European Conference</i>, <i>8</i>(1), Article 9. <a href=\"https://doi.org/10.36001/phme.2024.v8i1.4101\">https://doi.org/10.36001/phme.2024.v8i1.4101</a>","mla":"Javanmardi, Alireza, et al. “Remaining Useful Lifetime Estimation of Bearings Operating under Time-Varying Conditions.” <i>PHM Society European Conference</i>, vol. 8, no. 1, 9, PHM Society, 2024, doi:<a href=\"https://doi.org/10.36001/phme.2024.v8i1.4101\">10.36001/phme.2024.v8i1.4101</a>.","ieee":"A. Javanmardi, O. K. Aimiyekagbon, A. Bender, J. K. Kimotho, W. Sextro, and E. Hüllermeier, “Remaining Useful Lifetime Estimation of Bearings Operating under Time-Varying Conditions,” in <i>PHM Society European Conference</i>, Prague, Czech Republic, 2024, vol. 8, no. 1, doi: <a href=\"https://doi.org/10.36001/phme.2024.v8i1.4101\">10.36001/phme.2024.v8i1.4101</a>."},"volume":8,"user_id":"9557","_id":"55631","publisher":"PHM Society","conference":{"end_date":"2024-07-05","start_date":"2024-07-03","name":"8th European Conference of the Prognostics and Health Management Society 2024","location":"Prague, Czech Republic"},"status":"public","department":[{"_id":"151"}],"type":"conference","date_created":"2024-08-19T07:41:32Z","abstract":[{"text":"This paper investigates the remaining useful lifetime (RUL) estimation of bearings under dynamic, i.e., time-varying, operating conditions (OC). Unlike conventional studies that assume constant OC in bearing accelerated life tests, we introduce a dataset with time-varying OC during run-to-failure experiments, simulating real-world scenarios. We explore data-driven approaches to identify the transition point from a healthy to an unhealthy state and estimate the RUL. Additionally, we examine strategies for integrating OC information to enhance RUL estimations. These methodologies are evaluated through numerical experiments using various machine learning algorithms.","lang":"eng"}],"publication":"PHM Society European Conference","issue":"1","doi":"10.36001/phme.2024.v8i1.4101","language":[{"iso":"eng"}],"article_number":"9","intvolume":"         8","publication_status":"published","date_updated":"2025-02-10T10:37:52Z","author":[{"full_name":"Javanmardi, Alireza","last_name":"Javanmardi","first_name":"Alireza"},{"id":"9557","first_name":"Osarenren Kennedy","last_name":"Aimiyekagbon","full_name":"Aimiyekagbon, Osarenren Kennedy"},{"last_name":"Bender","first_name":"Amelie","full_name":"Bender, Amelie","id":"54290"},{"first_name":"James Kuria","last_name":"Kimotho","full_name":"Kimotho, James Kuria"},{"first_name":"Walter","last_name":"Sextro","full_name":"Sextro, Walter","id":"21220"},{"full_name":"Hüllermeier, Eyke","first_name":"Eyke","last_name":"Hüllermeier","id":"48129"}],"publication_identifier":{"isbn":["978-1-936263-40-0"]},"title":"Remaining Useful Lifetime Estimation of Bearings Operating under Time-Varying Conditions","year":"2024"}]