[{"citation":{"chicago":"Muth, Lars, Christian Noll, and Walter Sextro. “Generation of a Reduced, Representative, Virtual Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data.” In <i>Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings of the 27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021</i>, edited by Anna Orlova and David Cole. Lecture Notes in Mechanical Engineering. Cham: Springer, 2022. <a href=\"https://doi.org/10.1007/978-3-031-07305-2_92\">https://doi.org/10.1007/978-3-031-07305-2_92</a>.","short":"L. Muth, C. Noll, W. Sextro, in: A. Orlova, D. Cole (Eds.), Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings of the 27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021, Springer, Cham, 2022.","ieee":"L. Muth, C. Noll, and W. Sextro, “Generation of a Reduced, Representative, Virtual Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data,” in <i>Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings of the 27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021</i>, Saint Petersburg, Russia, 2022, doi: <a href=\"https://doi.org/10.1007/978-3-031-07305-2_92\">10.1007/978-3-031-07305-2_92</a>.","apa":"Muth, L., Noll, C., &#38; Sextro, W. (2022). Generation of a Reduced, Representative, Virtual Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data. In A. Orlova &#38; D. Cole (Eds.), <i>Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings of the 27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021</i>. Springer. <a href=\"https://doi.org/10.1007/978-3-031-07305-2_92\">https://doi.org/10.1007/978-3-031-07305-2_92</a>","bibtex":"@inproceedings{Muth_Noll_Sextro_2022, place={Cham}, series={Lecture Notes in Mechanical Engineering}, title={Generation of a Reduced, Representative, Virtual Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-07305-2_92\">10.1007/978-3-031-07305-2_92</a>}, booktitle={Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings of the 27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021}, publisher={Springer}, author={Muth, Lars and Noll, Christian and Sextro, Walter}, editor={Orlova, Anna and Cole, David}, year={2022}, collection={Lecture Notes in Mechanical Engineering} }","ama":"Muth L, Noll C, Sextro W. Generation of a Reduced, Representative, Virtual Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data. In: Orlova A, Cole D, eds. <i>Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings of the 27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021</i>. Lecture Notes in Mechanical Engineering. Springer; 2022. doi:<a href=\"https://doi.org/10.1007/978-3-031-07305-2_92\">10.1007/978-3-031-07305-2_92</a>","mla":"Muth, Lars, et al. “Generation of a Reduced, Representative, Virtual Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data.” <i>Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings of the 27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021</i>, edited by Anna Orlova and David Cole, Springer, 2022, doi:<a href=\"https://doi.org/10.1007/978-3-031-07305-2_92\">10.1007/978-3-031-07305-2_92</a>."},"quality_controlled":"1","place":"Cham","status":"public","conference":{"name":"27th IAVSD Symposium on Dynamics of Vehicles on Roads and Tracks, IAVSD 2021","start_date":"2021-08-17","location":"Saint Petersburg, Russia","end_date":"2021-08-19"},"_id":"29934","publisher":"Springer","user_id":"77313","editor":[{"last_name":"Orlova","first_name":"Anna","full_name":"Orlova, Anna"},{"full_name":"Cole, David","first_name":"David","last_name":"Cole"}],"publication":"Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings of the 27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021","abstract":[{"text":"Tire and road wear are a major source of emissions of nonexhaust particulate matter (PM) and make up the largest share of microplastics in the environment. To reduce tire wear through numerical optimization of a vehicle's suspension system, fast simulations of the representative usage of a vehicle are needed. Therefore, this contribution evaluates if instead of a full simulation of a representative test drive, only specific driving maneuvers resulting from a clustering of the driving data can be used to predict tire wear. As a measure for tire wear, the friction work between tire and road is calculated. It is shown that enough clusters result in negligible deviations between the total friction work of the full simulation and the cluster simulations as well as between the distributions of the friction work over the tire width. The calculation time can be reduced to about 1% of the full simulation.","lang":"eng"}],"date_created":"2022-02-21T14:14:11Z","keyword":["Tire Wear","Vehicle Dynamics","Clustering","Virtual Test"],"type":"conference","department":[{"_id":"151"}],"title":"Generation of a Reduced, Representative, Virtual Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data","year":"2022","author":[{"id":"77313","full_name":"Muth, Lars","last_name":"Muth","orcid":"0000-0002-2938-5616","first_name":"Lars"},{"full_name":"Noll, Christian","first_name":"Christian","last_name":"Noll"},{"id":"21220","last_name":"Sextro","first_name":"Walter","full_name":"Sextro, Walter"}],"publication_identifier":{"eisbn":["978-3-031-07305-2"],"isbn":["978-3-031-07304-5"]},"publication_status":"published","date_updated":"2022-08-23T11:55:07Z","main_file_link":[{"url":"https://link.springer.com/chapter/10.1007/978-3-031-07305-2_92"}],"language":[{"iso":"eng"}],"series_title":"Lecture Notes in Mechanical Engineering","doi":"10.1007/978-3-031-07305-2_92"},{"date_created":"2024-02-26T21:26:35Z","department":[{"_id":"151"}],"type":"report","citation":{"chicago":"Scheidemann, Claus, Tobias Hemsel, and Walter Sextro. <i>Modellbasierte Ermittlung optimaler Prozessparameter für neuartige Ultraschallbondverbindungen</i>. LibreCat University, 2022. <a href=\"https://doi.org/10.2314/KXP:1879655276\">https://doi.org/10.2314/KXP:1879655276</a>.","short":"C. Scheidemann, T. Hemsel, W. Sextro, Modellbasierte Ermittlung optimaler Prozessparameter für neuartige Ultraschallbondverbindungen, LibreCat University, 2022.","ieee":"C. Scheidemann, T. Hemsel, and W. Sextro, <i>Modellbasierte Ermittlung optimaler Prozessparameter für neuartige Ultraschallbondverbindungen</i>. LibreCat University, 2022.","apa":"Scheidemann, C., Hemsel, T., &#38; Sextro, W. (2022). <i>Modellbasierte Ermittlung optimaler Prozessparameter für neuartige Ultraschallbondverbindungen</i>. LibreCat University. <a href=\"https://doi.org/10.2314/KXP:1879655276\">https://doi.org/10.2314/KXP:1879655276</a>","bibtex":"@book{Scheidemann_Hemsel_Sextro_2022, title={Modellbasierte Ermittlung optimaler Prozessparameter für neuartige Ultraschallbondverbindungen}, DOI={<a href=\"https://doi.org/10.2314/KXP:1879655276\">10.2314/KXP:1879655276</a>}, publisher={LibreCat University}, author={Scheidemann, Claus and Hemsel, Tobias and Sextro, Walter}, year={2022} }","ama":"Scheidemann C, Hemsel T, Sextro W. <i>Modellbasierte Ermittlung optimaler Prozessparameter für neuartige Ultraschallbondverbindungen</i>. LibreCat University; 2022. doi:<a href=\"https://doi.org/10.2314/KXP:1879655276\">10.2314/KXP:1879655276</a>","mla":"Scheidemann, Claus, et al. <i>Modellbasierte Ermittlung optimaler Prozessparameter für neuartige Ultraschallbondverbindungen</i>. LibreCat University, 2022, doi:<a href=\"https://doi.org/10.2314/KXP:1879655276\">10.2314/KXP:1879655276</a>."},"related_material":{"link":[{"url":"https://www.tib.eu/de/suchen?tx_tibsearch_search%5Baction%5D=download&tx_tibsearch_search%5Bcontroller%5D=Download&tx_tibsearch_search%5Bdocid%5D=TIBKAT%3A1879655276&cHash=bf2cba5ff8f46a376ce5ef59242c95e2#download-mark","relation":"confirmation"}]},"_id":"52045","publisher":"LibreCat University","language":[{"iso":"ger"}],"doi":"10.2314/KXP:1879655276","user_id":"38259","author":[{"id":"38259","full_name":"Scheidemann, Claus","last_name":"Scheidemann","first_name":"Claus"},{"first_name":"Tobias","last_name":"Hemsel","full_name":"Hemsel, Tobias","id":"210"},{"id":"21220","full_name":"Sextro, Walter","last_name":"Sextro","first_name":"Walter"}],"year":"2022","title":"Modellbasierte Ermittlung optimaler Prozessparameter für neuartige Ultraschallbondverbindungen","status":"public","date_updated":"2024-02-26T21:35:03Z"},{"date_updated":"2023-04-26T12:10:58Z","publication_status":"published","status":"public","title":"Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction","year":"2022","author":[{"full_name":"Wohlleben, Meike Claudia","first_name":"Meike Claudia","last_name":"Wohlleben","id":"43991"},{"id":"54290","last_name":"Bender","first_name":"Amelie","full_name":"Bender, Amelie"},{"id":"47427","first_name":"Sebastian","last_name":"Peitz","orcid":"0000-0002-3389-793X","full_name":"Peitz, Sebastian"},{"first_name":"Walter","last_name":"Sextro","full_name":"Sextro, Walter","id":"21220"}],"publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783030954697","9783030954703"]},"doi":"10.1007/978-3-030-95470-3_8","user_id":"43991","main_file_link":[{"url":"https://link.springer.com/content/pdf/10.1007%2F978-3-030-95470-3_8.pdf"}],"language":[{"iso":"eng"}],"_id":"29727","publisher":"Springer International Publishing","quality_controlled":"1","publication":"Machine Learning, Optimization, and Data Science","citation":{"bibtex":"@inbook{Wohlleben_Bender_Peitz_Sextro_2022, place={Cham}, title={Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-95470-3_8\">10.1007/978-3-030-95470-3_8</a>}, booktitle={Machine Learning, Optimization, and Data Science}, publisher={Springer International Publishing}, author={Wohlleben, Meike Claudia and Bender, Amelie and Peitz, Sebastian and Sextro, Walter}, year={2022} }","ama":"Wohlleben MC, Bender A, Peitz S, Sextro W. Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction. In: <i>Machine Learning, Optimization, and Data Science</i>. Springer International Publishing; 2022. doi:<a href=\"https://doi.org/10.1007/978-3-030-95470-3_8\">10.1007/978-3-030-95470-3_8</a>","mla":"Wohlleben, Meike Claudia, et al. “Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction.” <i>Machine Learning, Optimization, and Data Science</i>, Springer International Publishing, 2022, doi:<a href=\"https://doi.org/10.1007/978-3-030-95470-3_8\">10.1007/978-3-030-95470-3_8</a>.","chicago":"Wohlleben, Meike Claudia, Amelie Bender, Sebastian Peitz, and Walter Sextro. “Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction.” In <i>Machine Learning, Optimization, and Data Science</i>. Cham: Springer International Publishing, 2022. <a href=\"https://doi.org/10.1007/978-3-030-95470-3_8\">https://doi.org/10.1007/978-3-030-95470-3_8</a>.","short":"M.C. Wohlleben, A. Bender, S. Peitz, W. Sextro, in: Machine Learning, Optimization, and Data Science, Springer International Publishing, Cham, 2022.","ieee":"M. C. Wohlleben, A. Bender, S. Peitz, and W. Sextro, “Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction,” in <i>Machine Learning, Optimization, and Data Science</i>, Cham: Springer International Publishing, 2022.","apa":"Wohlleben, M. C., Bender, A., Peitz, S., &#38; Sextro, W. (2022). Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction. In <i>Machine Learning, Optimization, and Data Science</i>. Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-030-95470-3_8\">https://doi.org/10.1007/978-3-030-95470-3_8</a>"},"type":"book_chapter","department":[{"_id":"151"},{"_id":"655"}],"place":"Cham","date_created":"2022-02-03T10:30:23Z"},{"language":[{"iso":"eng"}],"_id":"30371","publisher":"VDE VERLAG GMBH","page":"138-143","user_id":"210","publication_identifier":{"isbn":["ISBN 978-3-8007-5757-2 "]},"author":[{"id":"53321","first_name":"Oliver Ernst Caspar","last_name":"Hagedorn","full_name":"Hagedorn, Oliver Ernst Caspar"},{"full_name":"Broll, Marian","first_name":"Marian","last_name":"Broll"},{"last_name":"Kirsch","first_name":"Olaf","full_name":"Kirsch, Olaf"},{"last_name":"Hemsel","first_name":"Tobias","full_name":"Hemsel, Tobias","id":"210"},{"id":"21220","last_name":"Sextro","first_name":"Walter","full_name":"Sextro, Walter"}],"conference":{"end_date":"2022.03.17","location":"Berlin","start_date":"2022.03.15","name":"CIPS 2022 - 12th International Conference on Integrated Power Electronics Systems"},"status":"public","year":"2022","title":"Experimental Investigation of the Influence of different Bond Tool Grooves on the Bond Quality for Ultrasonic Thick Wire Bonding","date_updated":"2023-09-21T14:22:17Z","date_created":"2022-03-17T15:00:06Z","place":"Berlin","department":[{"_id":"151"}],"type":"conference","citation":{"mla":"Hagedorn, Oliver Ernst Caspar, et al. “Experimental Investigation of the Influence of Different Bond Tool Grooves on the Bond Quality for Ultrasonic Thick Wire Bonding.” <i>CIPS 2022 - 12th International Conference on Integrated Power Electronics Systems</i>, VDE VERLAG GMBH, 2022, pp. 138–43.","bibtex":"@inproceedings{Hagedorn_Broll_Kirsch_Hemsel_Sextro_2022, place={Berlin}, title={Experimental Investigation of the Influence of different Bond Tool Grooves on the Bond Quality for Ultrasonic Thick Wire Bonding}, booktitle={CIPS 2022 - 12th International Conference on Integrated Power Electronics Systems}, publisher={VDE VERLAG GMBH}, author={Hagedorn, Oliver Ernst Caspar and Broll, Marian and Kirsch, Olaf and Hemsel, Tobias and Sextro, Walter}, year={2022}, pages={138–143} }","ama":"Hagedorn OEC, Broll M, Kirsch O, Hemsel T, Sextro W. Experimental Investigation of the Influence of different Bond Tool Grooves on the Bond Quality for Ultrasonic Thick Wire Bonding. In: <i>CIPS 2022 - 12th International Conference on Integrated Power Electronics Systems</i>. VDE VERLAG GMBH; 2022:138-143.","ieee":"O. E. C. Hagedorn, M. Broll, O. Kirsch, T. Hemsel, and W. Sextro, “Experimental Investigation of the Influence of different Bond Tool Grooves on the Bond Quality for Ultrasonic Thick Wire Bonding,” in <i>CIPS 2022 - 12th International Conference on Integrated Power Electronics Systems</i>, Berlin, 2022, pp. 138–143.","apa":"Hagedorn, O. E. C., Broll, M., Kirsch, O., Hemsel, T., &#38; Sextro, W. (2022). Experimental Investigation of the Influence of different Bond Tool Grooves on the Bond Quality for Ultrasonic Thick Wire Bonding. <i>CIPS 2022 - 12th International Conference on Integrated Power Electronics Systems</i>, 138–143.","short":"O.E.C. Hagedorn, M. Broll, O. Kirsch, T. Hemsel, W. Sextro, in: CIPS 2022 - 12th International Conference on Integrated Power Electronics Systems, VDE VERLAG GMBH, Berlin, 2022, pp. 138–143.","chicago":"Hagedorn, Oliver Ernst Caspar, Marian Broll, Olaf Kirsch, Tobias Hemsel, and Walter Sextro. “Experimental Investigation of the Influence of Different Bond Tool Grooves on the Bond Quality for Ultrasonic Thick Wire Bonding.” In <i>CIPS 2022 - 12th International Conference on Integrated Power Electronics Systems</i>, 138–43. Berlin: VDE VERLAG GMBH, 2022."},"publication":"CIPS 2022 - 12th International Conference on Integrated Power Electronics Systems","quality_controlled":"1","abstract":[{"lang":"eng","text":"To achieve optimum bond results at ultrasonic bonding thick copper wire on sensitive components is quite challenging.\r\nBearing in mind that high normal force and ultrasonic power are needed for bond quality but as well increase stress and finally failure risk of the substrate, methods should be found to achieve high bond quality even at lower bond parameters. Therefore, bond experiments with different bond tool grove geometries have been conducted for copper and aluminum wire on direct copper bonded (DCB) substrates to investigate the impact of geometric parameters on bond formation and bond quality. The wire material depending impact of geometry changes on the bond formation and deformation was quantified. Additionally, a bonding parameter design of experiments (DOE) has been conducted for the reference and the most promising groove geometry. Higher shear values were achieved at reduced vertical tool displacement for most bonding parameter combinations, compared to the reference tool. This behavior allows for reducing ultrasonic power to obtain equal shear values; consequently, mechanical stresses in the interface decrease. This could potentially reduce the risk of chip damage and thus yield loss."}]},{"type":"newspaper_article","department":[{"_id":"151"}],"date_created":"2023-09-22T09:25:48Z","publication":" Condition Monitor","issue":"425","citation":{"bibtex":"@article{Aimiyekagbon_Bender_Sextro_2022, title={On the applicability of time series features as health indicators for technical systems operating under varying conditions}, number={425}, journal={ Condition Monitor}, author={Aimiyekagbon, Osarenren Kennedy and Bender, Amelie and Sextro, Walter}, year={2022}, pages={5–10} }","ama":"Aimiyekagbon OK, Bender A, Sextro W. On the applicability of time series features as health indicators for technical systems operating under varying conditions. <i> Condition Monitor</i>. 2022:5-10.","mla":"Aimiyekagbon, Osarenren Kennedy, et al. “On the Applicability of Time Series Features as Health Indicators for Technical Systems Operating under Varying Conditions.” <i> Condition Monitor</i>, no. 425, 2022, pp. 5–10.","chicago":"Aimiyekagbon, Osarenren Kennedy, Amelie Bender, and Walter Sextro. “On the Applicability of Time Series Features as Health Indicators for Technical Systems Operating under Varying Conditions.” <i> Condition Monitor</i>, 2022.","short":"O.K. Aimiyekagbon, A. Bender, W. Sextro,  Condition Monitor (2022) 5–10.","ieee":"O. K. Aimiyekagbon, A. Bender, and W. Sextro, “On the applicability of time series features as health indicators for technical systems operating under varying conditions,” <i> Condition Monitor</i>, no. 425, pp. 5–10, 2022.","apa":"Aimiyekagbon, O. K., Bender, A., &#38; Sextro, W. (2022). On the applicability of time series features as health indicators for technical systems operating under varying conditions. <i> Condition Monitor</i>, <i>425</i>, 5–10."},"publication_date":"2022-08","user_id":"9557","page":"5 - 10","_id":"47159","language":[{"iso":"eng"}],"date_updated":"2023-09-22T09:29:51Z","publication_status":"published","title":"On the applicability of time series features as health indicators for technical systems operating under varying conditions","status":"public","year":"2022","author":[{"full_name":"Aimiyekagbon, Osarenren Kennedy","first_name":"Osarenren Kennedy","last_name":"Aimiyekagbon","id":"9557"},{"id":"54290","last_name":"Bender","first_name":"Amelie","full_name":"Bender, Amelie"},{"id":"21220","full_name":"Sextro, Walter","last_name":"Sextro","first_name":"Walter"}],"publication_identifier":{"issn":["0268-8050"]}},{"type":"conference","department":[{"_id":"151"}],"date_created":"2022-11-17T15:17:39Z","abstract":[{"lang":"eng","text":"ue to the constantly growing energy demand of power electronics and the need to reduce the size of electronic components like power modules for e-mobility, new challenges arise for ultrasonic wire bonding: the electrical connection must endure higher thermal and mechanical stress while the connecting partners become more sensitive or require more energy to get bonded. Past investigations have shown already that multi-dimensional ultrasonic bonding and welding yield the same or even better bond quality while reducing the load on the components. This contribution is intended to show whether multidi-mensional thick wire bonding is a promising concept to over-come the new challenges. The focus is on experimental investi-gations of different bond tool trajectories in ultrasonic wire bonding of aluminum and copper wire on DCB's and chips. The bond quality is analyzed by shear tests, microsections and, in the case of aluminum bonding, by a new machine learning method for an objective automated evaluation of the sheared area."}],"quality_controlled":"1","publication":"2022 IEEE 9th Electronics System-Integration Technology Conference (ESTC)","citation":{"chicago":"Scheidemann, Claus, Olaf Kirsch, Tobias Hemsel, and Walter Sextro. “Experimental Investigation of Multidimensional Ultrasonic Heavy Wire Bonding.” In <i>2022 IEEE 9th Electronics System-Integration Technology Conference (ESTC)</i>. IEEE, 2022. <a href=\"https://doi.org/10.1109/estc55720.2022.9939478\">https://doi.org/10.1109/estc55720.2022.9939478</a>.","short":"C. Scheidemann, O. Kirsch, T. Hemsel, W. Sextro, in: 2022 IEEE 9th Electronics System-Integration Technology Conference (ESTC), IEEE, 2022.","ieee":"C. Scheidemann, O. Kirsch, T. Hemsel, and W. Sextro, “Experimental Investigation of Multidimensional Ultrasonic Heavy Wire Bonding,” 2022, doi: <a href=\"https://doi.org/10.1109/estc55720.2022.9939478\">10.1109/estc55720.2022.9939478</a>.","apa":"Scheidemann, C., Kirsch, O., Hemsel, T., &#38; Sextro, W. (2022). Experimental Investigation of Multidimensional Ultrasonic Heavy Wire Bonding. <i>2022 IEEE 9th Electronics System-Integration Technology Conference (ESTC)</i>. <a href=\"https://doi.org/10.1109/estc55720.2022.9939478\">https://doi.org/10.1109/estc55720.2022.9939478</a>","bibtex":"@inproceedings{Scheidemann_Kirsch_Hemsel_Sextro_2022, title={Experimental Investigation of Multidimensional Ultrasonic Heavy Wire Bonding}, DOI={<a href=\"https://doi.org/10.1109/estc55720.2022.9939478\">10.1109/estc55720.2022.9939478</a>}, booktitle={2022 IEEE 9th Electronics System-Integration Technology Conference (ESTC)}, publisher={IEEE}, author={Scheidemann, Claus and Kirsch, Olaf and Hemsel, Tobias and Sextro, Walter}, year={2022} }","ama":"Scheidemann C, Kirsch O, Hemsel T, Sextro W. Experimental Investigation of Multidimensional Ultrasonic Heavy Wire Bonding. In: <i>2022 IEEE 9th Electronics System-Integration Technology Conference (ESTC)</i>. IEEE; 2022. doi:<a href=\"https://doi.org/10.1109/estc55720.2022.9939478\">10.1109/estc55720.2022.9939478</a>","mla":"Scheidemann, Claus, et al. “Experimental Investigation of Multidimensional Ultrasonic Heavy Wire Bonding.” <i>2022 IEEE 9th Electronics System-Integration Technology Conference (ESTC)</i>, IEEE, 2022, doi:<a href=\"https://doi.org/10.1109/estc55720.2022.9939478\">10.1109/estc55720.2022.9939478</a>."},"doi":"10.1109/estc55720.2022.9939478","user_id":"38259","publisher":"IEEE","_id":"34104","language":[{"iso":"eng"}],"date_updated":"2023-09-22T12:24:18Z","publication_status":"published","title":"Experimental Investigation of Multidimensional Ultrasonic Heavy Wire Bonding","status":"public","year":"2022","author":[{"id":"38259","full_name":"Scheidemann, Claus","last_name":"Scheidemann","first_name":"Claus"},{"full_name":"Kirsch, Olaf","first_name":"Olaf","last_name":"Kirsch"},{"first_name":"Tobias","last_name":"Hemsel","full_name":"Hemsel, Tobias","id":"210"},{"full_name":"Sextro, Walter","last_name":"Sextro","first_name":"Walter","id":"21220"}]},{"application_date":"02.02.2017","ipc":"G01M 7/00 (2006.01)","abstract":[{"text":"Die Erfindung betrifft ein Gerät mit wenigstens einem elastisch verformbaren Bauteil als Strukturteil und/oder Lagerteil, auf das im Betriebsverlauf von wechselnden Betriebszuständen abhängige, unterschiedliche Verformungskräfte einwirken, die zu einem die Bauteilnutzungsdauer begrenzenden Bauteilverschleiß führen, und mit einer Einrichtung zur Bestimmung der Bauteilnutzungsdauer und einer verschleißbedingten Bauteil-Restnutzungsdauer. Erfindungsgemäß wird ein sich zeitversetzt wiederholender, jeweils gleicher Betriebszustand vorbestimmt, dem eine jeweils gleiche, periodisch wirkende Verformungskraft zugeordnet ist, durch die das elastisch verformbare Bauteilmaterial periodisch verformt wird, wobei durch Walkarbeit ein Energieeintrag mit einem messbaren Temperaturanstieg im Vergleich zu einer Umgebungstemperatur erfolgt und wobei der jeweilige Temperaturanstieg als Kenngröße im Verlauf einer Bauteilnutzungsdauer entsprechend einer abnehmenden Bauteilsteifigkeit größer wird. Ein solcher vorbestimmter Betriebszustand wird jeweils von einer Messund Auswerteeinheit erkannt und ein Messvorgang durch ein Startsignal selbsttätig gestartet, wobei mit wenigstens einem bauteilzugeordneten Temperatursensor, der aktuelle Temperaturanstieg im Vergleich zur Umgebungstemperatur als Kenngröße für eine aktuelle Bauteilsteifigkeit gemessen und jeweils in einer Messkurve gespeichert und verglichen wird.","lang":"eng"}],"date_created":"2019-05-27T09:44:22Z","file":[{"creator":"ekubi","date_created":"2022-09-07T05:04:49Z","file_name":"DE102017000926B4_1.pdf","access_level":"closed","file_size":244882,"relation":"main_file","date_updated":"2022-09-07T05:04:49Z","file_id":"33276","success":1,"content_type":"application/pdf"}],"department":[{"_id":"151"}],"type":"patent","author":[{"last_name":"Reinke","first_name":"Kai","full_name":"Reinke, Kai"},{"id":"54290","full_name":"Bender, Amelie","first_name":"Amelie","last_name":"Bender"},{"full_name":"Meyer, Tobias","first_name":"Tobias","last_name":"Meyer"},{"last_name":"Sextro","first_name":"Walter","full_name":"Sextro, Walter","id":"21220"},{"first_name":"James Kuria","last_name":"Kimotho","full_name":"Kimotho, James Kuria"}],"year":"2022","title":"Patent DE 10 2017 000 926 B4: Gerät mit wenigstens einem elastisch verformbaren Bauteil, insbesondere einem Gummi-Metall-Lager und mit einer Einrichtung zur Feststellung des Beginns einer verschleißbedingten Bauteil-Restnutzungsdauer, sowie Verfahren zur Bestimmung der Bauteil-Restnutzungsdauer.","ipn":"DE: 10 2017 000 926 B4 ","date_updated":"2023-09-28T09:48:38Z","citation":{"ama":"Reinke K, Bender A, Meyer T, Sextro W, Kimotho JK. Patent DE 10 2017 000 926 B4: Gerät mit wenigstens einem elastisch verformbaren Bauteil, insbesondere einem Gummi-Metall-Lager und mit einer Einrichtung zur Feststellung des Beginns einer verschleißbedingten Bauteil-Restnutzungsdauer, sowie Verfahren zur Bestimmung der Bauteil-Restnutzungsdauer. Published online 2022.","bibtex":"@article{Reinke_Bender_Meyer_Sextro_Kimotho_2022, title={Patent DE 10 2017 000 926 B4: Gerät mit wenigstens einem elastisch verformbaren Bauteil, insbesondere einem Gummi-Metall-Lager und mit einer Einrichtung zur Feststellung des Beginns einer verschleißbedingten Bauteil-Restnutzungsdauer, sowie Verfahren zur Bestimmung der Bauteil-Restnutzungsdauer.}, author={Reinke, Kai and Bender, Amelie and Meyer, Tobias and Sextro, Walter and Kimotho, James Kuria}, year={2022} }","mla":"Reinke, Kai, et al. <i>Patent DE 10 2017 000 926 B4: Gerät Mit Wenigstens Einem Elastisch Verformbaren Bauteil, Insbesondere Einem Gummi-Metall-Lager Und Mit Einer Einrichtung Zur Feststellung Des Beginns Einer Verschleißbedingten Bauteil-Restnutzungsdauer, Sowie Verfahren Zur Bestimmung Der Bauteil-Restnutzungsdauer.</i> 2022.","short":"K. Reinke, A. Bender, T. Meyer, W. Sextro, J.K. Kimotho, (2022).","chicago":"Reinke, Kai, Amelie Bender, Tobias Meyer, Walter Sextro, and James Kuria Kimotho. “Patent DE 10 2017 000 926 B4: Gerät Mit Wenigstens Einem Elastisch Verformbaren Bauteil, Insbesondere Einem Gummi-Metall-Lager Und Mit Einer Einrichtung Zur Feststellung Des Beginns Einer Verschleißbedingten Bauteil-Restnutzungsdauer, Sowie Verfahren Zur Bestimmung Der Bauteil-Restnutzungsdauer.,” 2022.","apa":"Reinke, K., Bender, A., Meyer, T., Sextro, W., &#38; Kimotho, J. K. (2022). <i>Patent DE 10 2017 000 926 B4: Gerät mit wenigstens einem elastisch verformbaren Bauteil, insbesondere einem Gummi-Metall-Lager und mit einer Einrichtung zur Feststellung des Beginns einer verschleißbedingten Bauteil-Restnutzungsdauer, sowie Verfahren zur Bestimmung der Bauteil-Restnutzungsdauer.</i>","ieee":"K. Reinke, A. Bender, T. Meyer, W. Sextro, and J. K. Kimotho, “Patent DE 10 2017 000 926 B4: Gerät mit wenigstens einem elastisch verformbaren Bauteil, insbesondere einem Gummi-Metall-Lager und mit einer Einrichtung zur Feststellung des Beginns einer verschleißbedingten Bauteil-Restnutzungsdauer, sowie Verfahren zur Bestimmung der Bauteil-Restnutzungsdauer.” 2022."},"file_date_updated":"2022-09-07T05:04:49Z","application_number":"10 2017 000 926.0","status":"public","has_accepted_license":"1","_id":"9980","page":"1","ddc":["620"],"publication_date":"31.03.2022","user_id":"210"},{"publication_status":"published","date_updated":"2022-01-06T06:57:43Z","publication_identifier":{"isbn":["978-3-18-092391-8"],"issn":["0083-5560 "]},"author":[{"full_name":"Aimiyekagbon, Osarenren Kennedy","last_name":"Aimiyekagbon","first_name":"Osarenren Kennedy","id":"9557"},{"first_name":"Amelie","last_name":"Bender","full_name":"Bender, Amelie","id":"54290"},{"first_name":"Walter","last_name":"Sextro","full_name":"Sextro, Walter","id":"21220"}],"title":"Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten ","year":"2021","language":[{"iso":"ger"}],"abstract":[{"lang":"ger","text":"Aufgrund der Fortschritte der Digitalisierung finden Systeme zur Zustandsüberwachung vermehrt Einsatz in der Industrie, um durch eine zustandsbasierte oder eine prädiktive Instandhaltung Vorteile, wie eine verbesserte Zuverlässigkeit und geringere Kosten zu erzielen. Dabei beruhen Zustandsüberwachungssysteme auf den folgenden Bausteinen: Sensorik, Datenvorverarbeitung, Merkmalsextraktion und -auswahl, Diagnose bzw. Prognose sowie einer Entscheidungsfindung basierend auf den Ergebnissen. Jeder dieser Bausteine erfordert individuelle Einstellungen, um ein geeignetes Zustandsüberwachungssystem für die jeweilige Anwendung zu entwickeln. Eine offene Fragestellung im Bereich der Zustandsüberwachung ergibt sich aufgrund der Unsicherheit der Zukunft, die sich in den zukünftigen Betriebs- und Umgebungsbedingungen zeigt. Diese Unsicherheit gilt es in allen Bausteinen zu berücksichtigen.\r\nDieser Beitrag konzentriert sich auf den Baustein Merkmalsextraktion und -selektion, mit dem Ziel anhand geeigneter Merkmale eine Prognose der nutzbaren Restlebensdauer mit hoher Genauigkeit realisieren zu können. Daher werden geeignete Merkmale aus dem Zeitbereich und daraus abgeleitete Zustandsindikatoren für die Restlebensdauerprognose von technischen Systemen vorgestellt. Dabei sind Zustandsindikatoren Kenngrößen zur Beobachtung des Zustands der kritischen Systemkomponenten. Anhand dreier Anwendungsbeispiele wird ihre Eignung evaluiert. Dabei werden Daten aus Lebensdauerversuchen unter instationären Betriebs- und Umgebungsbedingungen ausgewertet. Die auftretenden Unsicherheiten der Zukunft werden somit berücksichtigt. Die Beispielsysteme beruhen auf Gummi-Metall-Elementen und Wälzlagern. Aus den generierten Ergebnissen lässt sich schließen, dass die Zustandsindikatoren aus der betrachteten Zeitreihen-Toolbox auch unter unbekannten Betriebs- und Umgebungsbedingungen robust sind.\r\n"},{"text":"Due to the advances in digitalization, condition monitoring systems have found numerous applications in the industry due to benefits such as improved reliability and lowered costs through condition-based or predictive maintenance. Condition monitoring systems typically involve elements, such as data acquisition via suitable sensors, data preprocessing, feature extraction and selection, diagnostics, prognostics and (maintenance) decisions based on diagnosis or prognosis. For the application-specific development of a suitable condition monitoring system, each of these elements requires individual settings. Due to the uncertainty of the future, an open question arises in the condition monitoring field, which is reflected in unknown future operating and environmental conditions. This uncertainty needs consideration in all elements of a condition monitoring system.\r\nThis article focuses on feature extraction and selection, building on the hypothesis that the remaining useful life of a technical system can be predicted with high accuracy utilizing suitable features. In this article, health indicators derived from time-domain features that permit the monitoring of the health of critical system components are presented for predicting the remaining useful life of technical systems. Three distinct application examples based on rubber-metal elements and rolling-element bearings are evaluated to validate the suitability of the presented methods. Experimental data from accelerated lifetime tests conducted under non-stationary operating and environmental conditions are considered to take possible future uncertainties into account. It can be concluded from the acquired results that health indicators derived from the presented time series toolbox are robust to varying operating and environmental conditions.\r\n","lang":"eng"}],"publication":"VDI-Berichte 2391","department":[{"_id":"151"}],"keyword":["run-to-failure","rubber-metal element","bearing prognostics","non-stationary operating conditions","varying operating conditions","feature extraction","feature selection"],"type":"conference","date_created":"2021-11-22T07:42:44Z","conference":{"location":"Würzburg","start_date":"2021-11-16","name":"3. VDI-Fachtagung  ","end_date":"2021-11-17"},"status":"public","user_id":"9557","publisher":"VDI Verlag GmbH","_id":"27652","page":"197 - 210","citation":{"mla":"Aimiyekagbon, Osarenren Kennedy, et al. “Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten .” <i>VDI-Berichte 2391</i>, VDI Verlag GmbH, 2021, pp. 197–210.","bibtex":"@inproceedings{Aimiyekagbon_Bender_Sextro_2021, place={Düsseldorf}, title={Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten }, booktitle={VDI-Berichte 2391}, publisher={VDI Verlag GmbH}, author={Aimiyekagbon, Osarenren Kennedy and Bender, Amelie and Sextro, Walter}, year={2021}, pages={197–210} }","ama":"Aimiyekagbon OK, Bender A, Sextro W. Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten . In: <i>VDI-Berichte 2391</i>. VDI Verlag GmbH; 2021:197-210.","ieee":"O. K. Aimiyekagbon, A. Bender, and W. Sextro, “Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten ,” in <i>VDI-Berichte 2391</i>, Würzburg, 2021, pp. 197–210.","apa":"Aimiyekagbon, O. K., Bender, A., &#38; Sextro, W. (2021). Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten . <i>VDI-Berichte 2391</i>, 197–210.","chicago":"Aimiyekagbon, Osarenren Kennedy, Amelie Bender, and Walter Sextro. “Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten .” In <i>VDI-Berichte 2391</i>, 197–210. Düsseldorf: VDI Verlag GmbH, 2021.","short":"O.K. Aimiyekagbon, A. Bender, W. Sextro, in: VDI-Berichte 2391, VDI Verlag GmbH, Düsseldorf, 2021, pp. 197–210."},"place":"Düsseldorf"},{"user_id":"22109","page":"233-256","_id":"27508","status":"public","oa":"1","quality_controlled":"1","citation":{"bibtex":"@article{Schütte_Sextro_2021, title={Tire Wear Reduction Based on an Extended Multibody Rear Axle Model}, DOI={<a href=\"https://doi.org/10.3390/vehicles3020015\">10.3390/vehicles3020015</a>}, journal={Vehicles}, author={Schütte, Jan and Sextro, Walter}, year={2021}, pages={233–256} }","chicago":"Schütte, Jan, and Walter Sextro. “Tire Wear Reduction Based on an Extended Multibody Rear Axle Model.” <i>Vehicles</i>, 2021, 233–56. <a href=\"https://doi.org/10.3390/vehicles3020015\">https://doi.org/10.3390/vehicles3020015</a>.","ama":"Schütte J, Sextro W. Tire Wear Reduction Based on an Extended Multibody Rear Axle Model. <i>Vehicles</i>. Published online 2021:233-256. doi:<a href=\"https://doi.org/10.3390/vehicles3020015\">10.3390/vehicles3020015</a>","short":"J. Schütte, W. Sextro, Vehicles (2021) 233–256.","ieee":"J. Schütte and W. Sextro, “Tire Wear Reduction Based on an Extended Multibody Rear Axle Model,” <i>Vehicles</i>, pp. 233–256, 2021, doi: <a href=\"https://doi.org/10.3390/vehicles3020015\">10.3390/vehicles3020015</a>.","apa":"Schütte, J., &#38; Sextro, W. (2021). Tire Wear Reduction Based on an Extended Multibody Rear Axle Model. <i>Vehicles</i>, 233–256. <a href=\"https://doi.org/10.3390/vehicles3020015\">https://doi.org/10.3390/vehicles3020015</a>","mla":"Schütte, Jan, and Walter Sextro. “Tire Wear Reduction Based on an Extended Multibody Rear Axle Model.” <i>Vehicles</i>, 2021, pp. 233–56, doi:<a href=\"https://doi.org/10.3390/vehicles3020015\">10.3390/vehicles3020015</a>."},"doi":"10.3390/vehicles3020015","main_file_link":[{"open_access":"1","url":"https://www.mdpi.com/2624-8921/3/2/15"}],"language":[{"iso":"eng"}],"publication_status":"published","date_updated":"2024-05-27T07:49:17Z","year":"2021","title":"Tire Wear Reduction Based on an Extended Multibody Rear Axle Model","author":[{"id":"22109","full_name":"Schütte, Jan","last_name":"Schütte","first_name":"Jan","orcid":"0000-0001-9025-9742"},{"first_name":"Walter","last_name":"Sextro","full_name":"Sextro, Walter","id":"21220"}],"publication_identifier":{"issn":["2624-8921"]},"type":"journal_article","department":[{"_id":"151"}],"date_created":"2021-11-17T09:47:49Z","abstract":[{"text":"<jats:p>To analyze the influence of suspension kinematics on tire wear, detailed simulation models are required. In this study, a non-linear, flexible multibody model of a rear axle system is built up in the simulation software MSC Adams/View. The physical model comprises the suspension kinematics, compliance, and dynamics as well as the non-linear behavior of the tire using the FTire model. FTire is chosen because it has a separate tire tread model to compute the contact pressure and friction force distribution in the tire contact patch. To build up the simulation model, a large amount of data is needed. Bushings, spring, and damper characteristics are modeled based on measurements. For the structural components (e.g., control arms), reverse engineering techniques are used. The components are 3D-scanned, reworked, and included as a modal reduced finite element (FE)-model using component mode synthesis by Craig–Bampton. Finally, the suspension model is validated by comparing the simulated kinematic and compliance characteristics to experimental results. To investigate the interaction of suspension kinematics and tire wear, straight line driving events, such as acceleration, driving with constant velocity, and deceleration, are simulated with different setups of wheel suspension kinematics. The influence of the setups on the resulting friction work between tire and road is examined, and an exemplarily calculation of tire wear based on a validated FTire tire model is carried out. The results demonstrate, on the one hand, that the chosen concept of elasto-kinematic axle leads to a relatively good match with experimental results and, on the other hand, that there are significant possibilities to reduce tire wear by adjusting the suspension kinematics.</jats:p>","lang":"eng"}],"publication":"Vehicles"},{"language":[{"iso":"eng"}],"doi":"https://doi.org/10.1016/j.microrel.2021.114077","author":[{"id":"28647","full_name":"Schemmel, Reinhard","last_name":"Schemmel","first_name":"Reinhard"},{"first_name":"Viktor","last_name":"Krieger","full_name":"Krieger, Viktor"},{"full_name":"Hemsel, Tobias","first_name":"Tobias","last_name":"Hemsel","id":"210"},{"id":"21220","first_name":"Walter","last_name":"Sextro","full_name":"Sextro, Walter"}],"publication_identifier":{"issn":["0026-2714"]},"title":"Co-simulation of MATLAB and ANSYS for ultrasonic wire bonding process optimization","year":"2021","intvolume":"       119","date_updated":"2023-09-21T14:15:33Z","publication_status":"published","date_created":"2021-03-10T09:37:02Z","department":[{"_id":"151"}],"type":"journal_article","keyword":["Ultrasonic heavy wire bonding","Co-simulation","ANSYS","MATLAB","Process optimization","Friction coefficient","Copper-copper","Aluminium-copper"],"publication":"Microelectronics Reliability","abstract":[{"lang":"eng","text":"Ultrasonic wire bonding is a solid-state joining process, used in the electronics industry to form electrical connections, e.g. to connect electrical terminals within semiconductor modules. Many process parameters affect the bond strength, such like the bond normal force, ultrasonic power, wire material and bonding frequency. Today, process design, development, and optimization is most likely based on the knowledge of process engineers and is mainly performed by experimental testing. In this contribution, a newly developed simulation tool is presented, to reduce time and costs and efficiently determine optimized process parameter. Based on a co-simulation of MATLAB and ANSYS, the different physical phenomena of the wire bonding process are considered using finite element simulation for the complex plastic deformation of the wire and reduced order models for the transient dynamics of the transducer, wire, substrate and bond formation. The model parameters such as the coefficients of friction between bond tool and wire and between wire and substrate were determined for aluminium and copper wire in experiments with a test rig specially developed for the requirements of heavy wire bonding. To reduce simulation time, for the finite element simulation a restart analysis and high performance computing is utilized. Detailed analysis of the bond formation showed, that the normal pressure distribution in the contact between wire and substrate has high impact on bond formation and distribution of welded areas in the contact area."}],"_id":"21436","page":"114077","volume":119,"user_id":"210","status":"public","citation":{"apa":"Schemmel, R., Krieger, V., Hemsel, T., &#38; Sextro, W. (2021). Co-simulation of MATLAB and ANSYS for ultrasonic wire bonding process optimization. <i>Microelectronics Reliability</i>, <i>119</i>, 114077. <a href=\"https://doi.org/10.1016/j.microrel.2021.114077\">https://doi.org/10.1016/j.microrel.2021.114077</a>","ieee":"R. Schemmel, V. Krieger, T. Hemsel, and W. Sextro, “Co-simulation of MATLAB and ANSYS for ultrasonic wire bonding process optimization,” <i>Microelectronics Reliability</i>, vol. 119, p. 114077, 2021, doi: <a href=\"https://doi.org/10.1016/j.microrel.2021.114077\">https://doi.org/10.1016/j.microrel.2021.114077</a>.","chicago":"Schemmel, Reinhard, Viktor Krieger, Tobias Hemsel, and Walter Sextro. “Co-Simulation of MATLAB and ANSYS for Ultrasonic Wire Bonding Process Optimization.” <i>Microelectronics Reliability</i> 119 (2021): 114077. <a href=\"https://doi.org/10.1016/j.microrel.2021.114077\">https://doi.org/10.1016/j.microrel.2021.114077</a>.","short":"R. Schemmel, V. Krieger, T. Hemsel, W. Sextro, Microelectronics Reliability 119 (2021) 114077.","mla":"Schemmel, Reinhard, et al. “Co-Simulation of MATLAB and ANSYS for Ultrasonic Wire Bonding Process Optimization.” <i>Microelectronics Reliability</i>, vol. 119, 2021, p. 114077, doi:<a href=\"https://doi.org/10.1016/j.microrel.2021.114077\">https://doi.org/10.1016/j.microrel.2021.114077</a>.","ama":"Schemmel R, Krieger V, Hemsel T, Sextro W. Co-simulation of MATLAB and ANSYS for ultrasonic wire bonding process optimization. <i>Microelectronics Reliability</i>. 2021;119:114077. doi:<a href=\"https://doi.org/10.1016/j.microrel.2021.114077\">https://doi.org/10.1016/j.microrel.2021.114077</a>","bibtex":"@article{Schemmel_Krieger_Hemsel_Sextro_2021, title={Co-simulation of MATLAB and ANSYS for ultrasonic wire bonding process optimization}, volume={119}, DOI={<a href=\"https://doi.org/10.1016/j.microrel.2021.114077\">https://doi.org/10.1016/j.microrel.2021.114077</a>}, journal={Microelectronics Reliability}, author={Schemmel, Reinhard and Krieger, Viktor and Hemsel, Tobias and Sextro, Walter}, year={2021}, pages={114077} }"},"quality_controlled":"1"},{"oa":"1","citation":{"bibtex":"@inproceedings{Bender_Sextro_2021, title={Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties}, volume={6}, DOI={<a href=\"https://doi.org/10.36001/phme.2021.v6i1.2843 \">https://doi.org/10.36001/phme.2021.v6i1.2843 </a>}, number={1}, booktitle={Proceedings of the European Conference of the PHM Society 2021}, author={Bender, Amelie and Sextro, Walter}, editor={Do, Phuc  and King, Steve and Fink,  Olga}, year={2021} }","ama":"Bender A, Sextro W. Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties. In: Do P, King S, Fink  Olga, eds. <i>Proceedings of the European Conference of the PHM Society 2021</i>. Vol 6. ; 2021. doi:<a href=\"https://doi.org/10.36001/phme.2021.v6i1.2843 \">https://doi.org/10.36001/phme.2021.v6i1.2843 </a>","mla":"Bender, Amelie, and Walter Sextro. “Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties.” <i>Proceedings of the European Conference of the PHM Society 2021</i>, edited by Phuc  Do et al., vol. 6, no. 1, 2021, doi:<a href=\"https://doi.org/10.36001/phme.2021.v6i1.2843 \">https://doi.org/10.36001/phme.2021.v6i1.2843 </a>.","short":"A. Bender, W. Sextro, in: P. Do, S. King,  Olga Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021, 2021.","chicago":"Bender, Amelie, and Walter Sextro. “Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties.” In <i>Proceedings of the European Conference of the PHM Society 2021</i>, edited by Phuc  Do, Steve King, and  Olga Fink, Vol. 6, 2021. <a href=\"https://doi.org/10.36001/phme.2021.v6i1.2843 \">https://doi.org/10.36001/phme.2021.v6i1.2843 </a>.","ieee":"A. Bender and W. Sextro, “Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties,” in <i>Proceedings of the European Conference of the PHM Society 2021</i>, 2021, vol. 6, no. 1, doi: <a href=\"https://doi.org/10.36001/phme.2021.v6i1.2843 \">https://doi.org/10.36001/phme.2021.v6i1.2843 </a>.","apa":"Bender, A., &#38; Sextro, W. (2021). Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties. In P. Do, S. King, &#38;  Olga Fink (Eds.), <i>Proceedings of the European Conference of the PHM Society 2021</i> (Vol. 6, Issue 1). <a href=\"https://doi.org/10.36001/phme.2021.v6i1.2843 \">https://doi.org/10.36001/phme.2021.v6i1.2843 </a>"},"quality_controlled":"1","_id":"22724","user_id":"54290","volume":6,"editor":[{"last_name":"Do","first_name":"Phuc ","full_name":"Do, Phuc "},{"full_name":"King, Steve","first_name":"Steve","last_name":"King"},{"full_name":"Fink,  Olga","first_name":" Olga","last_name":"Fink"}],"status":"public","conference":{"name":"6th European Conference of Prognostics and Health Management","start_date":"2021-06-28","end_date":"2021-07-02"},"date_created":"2021-07-14T06:29:08Z","type":"conference","keyword":["Hybrid prediction method","Multi-model particle filtering","Uncertainty quantification","RUL estimation"],"department":[{"_id":"151"}],"issue":"1","publication":"Proceedings of the European Conference of the PHM Society 2021","abstract":[{"lang":"eng","text":"\r\nPredictive Maintenance as a desirable maintenance strategy in industrial applications relies on suitable condition monitoring solutions to reduce costs and risks of the monitored technical systems. In general, those solutions utilize model-based or data-driven methods to diagnose the current state or predict future states of monitored technical systems. However, both methods have their advantages and drawbacks. Combining both methods can improve uncertainty consideration and accuracy. Different combination approaches of those hybrid methods exist to exploit synergy effects. The choice of an appropriate approach depends on different requirements and the goal behind the selection of a hybrid approach.\r\n\r\n \r\n\r\nIn this work, the hybrid approach for estimating remaining useful lifetime takes potential uncertainties into account. Therefore, a data-driven estimation of new measurements is integrated within a model-based method. To consider uncertainties within the system, a differentiation between different system behavior is realized throughout diverse states of degradation.\r\n\r\nThe developed hybrid prediction approach bases on a particle filtering method combined with a machine learning method, to estimate the remaining useful lifetime of technical systems. Particle filtering as a Monte Carlo simulation technique is suitable to map and propagate uncertainties. Moreover, it is a state-of-the-art model-based method for predicting remaining useful lifetime of technical systems. To integrate uncertainties a multi-model particle filtering approach is employed. In general, resampling as a part of the particle filtering approach has the potential to lead to an accurate prediction. However, in the case where no future measurements are available, it may increase the uncertainty of the prediction. By estimating new measurements, those uncertainties are reduced within the data-driven part of the approach. Hence, both parts of the hybrid approach strive to account for and reduce uncertainties.\r\n\r\n \r\n\r\nRubber-metal-elements are employed as a use-case to evaluate the developed approach. Rubber-metal-elements, which are used to isolate vibrations in various systems, such as railways, trucks and wind turbines, show various uncertainties in their behavior and their degradation. Those uncertainties are caused by diverse inner and outer factors, such as manufacturing influences and operating conditions. By expert knowledge the influences are described, analyzed and if possible reduced. However, the remaining uncertainties are considered within the hybrid prediction method. Relative temperature is the selected measurand to describe the element’s degradation. In lifetime tests, it is measured as the difference between the element’s temperature and the ambient temperature. Thereby, the influence of the ambient temperature on the element’s temperature is taken into account. Those elements show three typical states of degradation that are identified within the temperature measurements. Depending on the particular state of degradation a new measurement is estimated within the hybrid approach to reduce potential uncertainties.\r\n\r\nFinally, the performance of the developed hybrid method is compared to a model-based method for estimating the remaining useful lifetime of the same elements. Suitable performance indices are implemented to underline the differences between the results."}],"main_file_link":[{"url":"https://papers.phmsociety.org/index.php/phme/article/view/2843","open_access":"1"}],"language":[{"iso":"eng"}],"doi":"https://doi.org/10.36001/phme.2021.v6i1.2843 ","title":"Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties","year":"2021","publication_identifier":{"unknown":["978-1-936263-34-9"]},"author":[{"last_name":"Bender","first_name":"Amelie","full_name":"Bender, Amelie","id":"54290"},{"full_name":"Sextro, Walter","last_name":"Sextro","first_name":"Walter","id":"21220"}],"publication_status":"published","date_updated":"2023-09-22T07:19:48Z","intvolume":"         6"},{"publication_status":"inpress","date_updated":"2023-09-22T08:10:34Z","year":"2021","title":"On the applicability of time series features as health indicators for technical systems operating under varying conditions","author":[{"id":"9557","full_name":"Aimiyekagbon, Osarenren Kennedy","last_name":"Aimiyekagbon","first_name":"Osarenren Kennedy"},{"full_name":"Bender, Amelie","last_name":"Bender","first_name":"Amelie","id":"54290"},{"id":"21220","full_name":"Sextro, Walter","last_name":"Sextro","first_name":"Walter"}],"language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"Several methods, including order analysis, wavelet analysis and empirical mode decomposition have been proposed and successfully employed for the health state estimation of technical systems operating under varying conditions. However, where information such as the speed of rotating machinery, component specifications or other domain-specific information is unavailable, such methods are often infeasible. Thus, this paper investigates the application of classical time-domain features, features from the medical field and novel features from the highly comparative time-series analysis (HCTSA) package, for the health state estimation of rotating machinery operating under varying conditions. Furthermore, several feature selection methods are investigated to identify features as viable health indicators for the diagnostics and prognostics of technical systems. As a case study, the presented methods are evaluated on real-world and experimentally acquired vibration data of bearings operating under varying speed. The results show that the selected features can successfully be employed as health indicators for technical systems operating under varying conditions."}],"publication":"Proceedings of the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021)","keyword":["Wind turbine diagnostics","bearing diagnostics","non-stationary operating conditions","varying operating conditions","feature extraction","feature selection","fault detection","failure detection"],"type":"conference","department":[{"_id":"151"}],"file":[{"date_created":"2021-06-23T06:43:44Z","description":"This is a post-print version of the article presented at the Seventeenth International Con-ference on Condition Monitoring and Asset Management (CM 2021). The event websiteis available at:  https://www.bindt.org/events/CM-2021/ and the abstract is available at:https://www.bindt.org/events/CM-2021/abstract-9a7/.","creator":"kennedy","content_type":"application/pdf","file_id":"22508","title":"On the applicability of time series features as health indicators for technical systems operating under varying conditions","file_size":1875572,"access_level":"open_access","file_name":"Aimiyekagbon_et_al_2021_On_the_applicability_of_time_series_features_as_health_indicators_postPrint.pdf","date_updated":"2021-06-23T06:50:07Z","relation":"main_file"}],"date_created":"2021-06-23T05:24:39Z","has_accepted_license":"1","status":"public","conference":{"name":"Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021)","start_date":"2021-06-14","end_date":"2021-06-18"},"user_id":"9557","ddc":["620"],"_id":"22507","quality_controlled":"1","file_date_updated":"2021-06-23T06:50:07Z","citation":{"mla":"Aimiyekagbon, Osarenren Kennedy, et al. “On the Applicability of Time Series Features as Health Indicators for Technical Systems Operating under Varying Conditions.” <i>Proceedings of the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021)</i>.","ama":"Aimiyekagbon OK, Bender A, Sextro W. On the applicability of time series features as health indicators for technical systems operating under varying conditions. In: <i>Proceedings of the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021)</i>.","bibtex":"@inproceedings{Aimiyekagbon_Bender_Sextro, title={On the applicability of time series features as health indicators for technical systems operating under varying conditions}, booktitle={Proceedings of the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021)}, author={Aimiyekagbon, Osarenren Kennedy and Bender, Amelie and Sextro, Walter} }","apa":"Aimiyekagbon, O. K., Bender, A., &#38; Sextro, W. (n.d.). On the applicability of time series features as health indicators for technical systems operating under varying conditions. <i>Proceedings of the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021)</i>. Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021).","ieee":"O. K. Aimiyekagbon, A. Bender, and W. Sextro, “On the applicability of time series features as health indicators for technical systems operating under varying conditions,” presented at the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021).","chicago":"Aimiyekagbon, Osarenren Kennedy, Amelie Bender, and Walter Sextro. “On the Applicability of Time Series Features as Health Indicators for Technical Systems Operating under Varying Conditions.” In <i>Proceedings of the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021)</i>, n.d.","short":"O.K. Aimiyekagbon, A. Bender, W. Sextro, in: Proceedings of the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021), n.d."},"oa":"1"},{"oa":"1","quality_controlled":"1","citation":{"mla":"Aimiyekagbon, Osarenren Kennedy, et al. “Rule-Based Diagnostics of a Production Line.” <i>Proceedings of the European Conference of the PHM Society 2021</i>, edited by Phuc Do et al., vol. 6, no. 1, 2021, pp. 527–36, doi:<a href=\"https://doi.org/10.36001/phme.2021.v6i1.3042\">10.36001/phme.2021.v6i1.3042</a>.","bibtex":"@inproceedings{Aimiyekagbon_Muth_Wohlleben_Bender_Sextro_2021, title={Rule-based Diagnostics of a Production Line}, volume={6}, DOI={<a href=\"https://doi.org/10.36001/phme.2021.v6i1.3042\">10.36001/phme.2021.v6i1.3042</a>}, number={1}, booktitle={Proceedings of the European Conference of the PHM Society 2021}, author={Aimiyekagbon, Osarenren Kennedy and Muth, Lars and Wohlleben, Meike Claudia and Bender, Amelie and Sextro, Walter}, editor={Do, Phuc and King, Steve and Fink, Olga}, year={2021}, pages={527–536} }","ama":"Aimiyekagbon OK, Muth L, Wohlleben MC, Bender A, Sextro W. Rule-based Diagnostics of a Production Line. In: Do P, King S, Fink O, eds. <i>Proceedings of the European Conference of the PHM Society 2021</i>. Vol 6. ; 2021:527-536. doi:<a href=\"https://doi.org/10.36001/phme.2021.v6i1.3042\">10.36001/phme.2021.v6i1.3042</a>","ieee":"O. K. Aimiyekagbon, L. Muth, M. C. Wohlleben, A. Bender, and W. Sextro, “Rule-based Diagnostics of a Production Line,” in <i>Proceedings of the European Conference of the PHM Society 2021</i>, 2021, vol. 6, no. 1, pp. 527–536, doi: <a href=\"https://doi.org/10.36001/phme.2021.v6i1.3042\">10.36001/phme.2021.v6i1.3042</a>.","apa":"Aimiyekagbon, O. K., Muth, L., Wohlleben, M. C., Bender, A., &#38; Sextro, W. (2021). Rule-based Diagnostics of a Production Line. In P. Do, S. King, &#38; O. Fink (Eds.), <i>Proceedings of the European Conference of the PHM Society 2021</i> (Vol. 6, Issue 1, pp. 527–536). <a href=\"https://doi.org/10.36001/phme.2021.v6i1.3042\">https://doi.org/10.36001/phme.2021.v6i1.3042</a>","short":"O.K. Aimiyekagbon, L. Muth, M.C. Wohlleben, A. Bender, W. Sextro, in: P. Do, S. King, O. Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021, 2021, pp. 527–536.","chicago":"Aimiyekagbon, Osarenren Kennedy, Lars Muth, Meike Claudia Wohlleben, Amelie Bender, and Walter Sextro. “Rule-Based Diagnostics of a Production Line.” In <i>Proceedings of the European Conference of the PHM Society 2021</i>, edited by Phuc Do, Steve King, and Olga Fink, 6:527–36, 2021. <a href=\"https://doi.org/10.36001/phme.2021.v6i1.3042\">https://doi.org/10.36001/phme.2021.v6i1.3042</a>."},"volume":6,"editor":[{"full_name":"Do, Phuc","first_name":"Phuc","last_name":"Do"},{"full_name":"King, Steve","last_name":"King","first_name":"Steve"},{"last_name":"Fink","first_name":"Olga","full_name":"Fink, Olga"}],"user_id":"9557","_id":"27111","page":"527-536","conference":{"name":"PHM Society European Conference"},"status":"public","department":[{"_id":"151"}],"keyword":["PHME 2021","Feature Selection Classification","Feature Selection Clustering","Interpretable Model","Transparent Model","Industry 4.0","Real-World Diagnostics","Quality Control","Predictive Maintenance"],"type":"conference","date_created":"2021-11-03T12:26:39Z","abstract":[{"text":"In the industry 4.0 era, there is a growing need to transform unstructured data acquired by a multitude of sources into information and subsequently into knowledge to improve the quality of manufactured products, to boost production, for predictive maintenance, etc. Data-driven approaches, such as machine learning techniques, are typically employed to model the underlying relationship from data. However, an increase in model accuracy with state-of-the-art methods, such as deep convolutional neural networks, results in less interpretability and transparency. Due to the ease of implementation, interpretation and transparency to both domain experts and non-experts, a rule-based method is proposed in this paper, for prognostics and health management (PHM) and specifically for diagnostics. The proposed method utilizes the most relevant sensor signals acquired via feature extraction and selection techniques and expert knowledge. As a case study, the presented method is evaluated on data from a real-world quality control set-up provided by the European prognostics and health management society (PHME) at the conference’s 2021 data challenge. With the proposed method, our team took the third place, capable of successfully diagnosing different fault modes, irrespective of varying conditions.","lang":"eng"}],"publication":"Proceedings of the European Conference of the PHM Society 2021","issue":"1","doi":"10.36001/phme.2021.v6i1.3042","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"http://papers.phmsociety.org/index.php/phme/article/download/3042/1812"}],"intvolume":"         6","publication_status":"published","date_updated":"2023-09-22T09:13:01Z","author":[{"id":"9557","full_name":"Aimiyekagbon, Osarenren Kennedy","first_name":"Osarenren Kennedy","last_name":"Aimiyekagbon"},{"id":"77313","full_name":"Muth, Lars","first_name":"Lars","last_name":"Muth","orcid":"0000-0002-2938-5616"},{"full_name":"Wohlleben, Meike Claudia","last_name":"Wohlleben","orcid":"0009-0009-9767-7168","first_name":"Meike Claudia","id":"43991"},{"last_name":"Bender","first_name":"Amelie","full_name":"Bender, Amelie","id":"54290"},{"first_name":"Walter","last_name":"Sextro","full_name":"Sextro, Walter","id":"21220"}],"year":"2021","title":"Rule-based Diagnostics of a Production Line"},{"oa":"1","citation":{"bibtex":"@article{Martin_Schütte_Bäumler_Sextro_Tröster_2021, title={Identification of joints for a load-adapted shape in a body in white using steady state vehicle simulations}, volume={6}, DOI={<a href=\"https://doi.org/10.1016/j.finmec.2021.100065\">10.1016/j.finmec.2021.100065</a>}, number={100065}, journal={Forces in Mechanics}, publisher={Elsevier BV}, author={Martin, Sven and Schütte, Jan and Bäumler, C. and Sextro, Walter and Tröster, Thomas}, year={2021} }","ama":"Martin S, Schütte J, Bäumler C, Sextro W, Tröster T. Identification of joints for a load-adapted shape in a body in white using steady state vehicle simulations. <i>Forces in Mechanics</i>. 2021;6. doi:<a href=\"https://doi.org/10.1016/j.finmec.2021.100065\">10.1016/j.finmec.2021.100065</a>","mla":"Martin, Sven, et al. “Identification of Joints for a Load-Adapted Shape in a Body in White Using Steady State Vehicle Simulations.” <i>Forces in Mechanics</i>, vol. 6, 100065, Elsevier BV, 2021, doi:<a href=\"https://doi.org/10.1016/j.finmec.2021.100065\">10.1016/j.finmec.2021.100065</a>.","short":"S. Martin, J. Schütte, C. Bäumler, W. Sextro, T. Tröster, Forces in Mechanics 6 (2021).","chicago":"Martin, Sven, Jan Schütte, C. Bäumler, Walter Sextro, and Thomas Tröster. “Identification of Joints for a Load-Adapted Shape in a Body in White Using Steady State Vehicle Simulations.” <i>Forces in Mechanics</i> 6 (2021). <a href=\"https://doi.org/10.1016/j.finmec.2021.100065\">https://doi.org/10.1016/j.finmec.2021.100065</a>.","ieee":"S. Martin, J. Schütte, C. Bäumler, W. Sextro, and T. Tröster, “Identification of joints for a load-adapted shape in a body in white using steady state vehicle simulations,” <i>Forces in Mechanics</i>, vol. 6, Art. no. 100065, 2021, doi: <a href=\"https://doi.org/10.1016/j.finmec.2021.100065\">10.1016/j.finmec.2021.100065</a>.","apa":"Martin, S., Schütte, J., Bäumler, C., Sextro, W., &#38; Tröster, T. (2021). Identification of joints for a load-adapted shape in a body in white using steady state vehicle simulations. <i>Forces in Mechanics</i>, <i>6</i>, Article 100065. <a href=\"https://doi.org/10.1016/j.finmec.2021.100065\">https://doi.org/10.1016/j.finmec.2021.100065</a>"},"project":[{"name":"TRR 285: TRR 285","_id":"130","grant_number":"418701707"},{"name":"TRR 285 - B: TRR 285 - Project Area B","_id":"132"},{"name":"TRR 285 – B01: TRR 285 - Subproject B01","_id":"140"}],"quality_controlled":"1","publisher":"Elsevier BV","_id":"29293","volume":6,"user_id":"15952","status":"public","date_created":"2022-01-12T10:30:02Z","department":[{"_id":"151"},{"_id":"630"},{"_id":"149"},{"_id":"321"},{"_id":"9"}],"type":"journal_article","publication":"Forces in Mechanics","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://www.sciencedirect.com/science/article/pii/S2666359721000561"}],"article_number":"100065","doi":"10.1016/j.finmec.2021.100065","publication_identifier":{"issn":["2666-3597"]},"author":[{"first_name":"Sven","last_name":"Martin","full_name":"Martin, Sven","id":"38177"},{"full_name":"Schütte, Jan","orcid":"0000-0001-9025-9742","last_name":"Schütte","first_name":"Jan","id":"22109"},{"last_name":"Bäumler","first_name":"C.","full_name":"Bäumler, C."},{"id":"21220","first_name":"Walter","last_name":"Sextro","full_name":"Sextro, Walter"},{"id":"553","full_name":"Tröster, Thomas","last_name":"Tröster","first_name":"Thomas"}],"year":"2021","title":"Identification of joints for a load-adapted shape in a body in white using steady state vehicle simulations","intvolume":"         6","date_updated":"2025-06-06T08:05:56Z","publication_status":"published"},{"quality_controlled":"1","publication":"Lecture Notes in Mechanical Engineering","citation":{"mla":"Schütte, Jan, and Walter Sextro. “Model-Based Investigation of the Influence of Wheel Suspension Characteristics on Tire Wear.” <i>Lecture Notes in Mechanical Engineering</i>, 2020, doi:<a href=\"https://doi.org/10.1007/978-3-030-38077-9_201\">10.1007/978-3-030-38077-9_201</a>.","ama":"Schütte J, Sextro W. Model-Based Investigation of the Influence of Wheel Suspension Characteristics on Tire Wear. In: <i>Lecture Notes in Mechanical Engineering</i>. ; 2020. doi:<a href=\"https://doi.org/10.1007/978-3-030-38077-9_201\">10.1007/978-3-030-38077-9_201</a>","bibtex":"@inproceedings{Schütte_Sextro_2020, place={Cham}, title={Model-Based Investigation of the Influence of Wheel Suspension Characteristics on Tire Wear}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-38077-9_201\">10.1007/978-3-030-38077-9_201</a>}, booktitle={Lecture Notes in Mechanical Engineering}, author={Schütte, Jan and Sextro, Walter}, year={2020} }","apa":"Schütte, J., &#38; Sextro, W. (2020). Model-Based Investigation of the Influence of Wheel Suspension Characteristics on Tire Wear. <i>Lecture Notes in Mechanical Engineering</i>. <a href=\"https://doi.org/10.1007/978-3-030-38077-9_201\">https://doi.org/10.1007/978-3-030-38077-9_201</a>","ieee":"J. Schütte and W. Sextro, “Model-Based Investigation of the Influence of Wheel Suspension Characteristics on Tire Wear,” 2020, doi: <a href=\"https://doi.org/10.1007/978-3-030-38077-9_201\">10.1007/978-3-030-38077-9_201</a>.","chicago":"Schütte, Jan, and Walter Sextro. “Model-Based Investigation of the Influence of Wheel Suspension Characteristics on Tire Wear.” In <i>Lecture Notes in Mechanical Engineering</i>. Cham, 2020. <a href=\"https://doi.org/10.1007/978-3-030-38077-9_201\">https://doi.org/10.1007/978-3-030-38077-9_201</a>.","short":"J. Schütte, W. Sextro, in: Lecture Notes in Mechanical Engineering, Cham, 2020."},"type":"conference","department":[{"_id":"151"}],"place":"Cham","date_created":"2021-05-06T09:09:37Z","date_updated":"2024-05-27T07:48:56Z","publication_status":"published","status":"public","title":"Model-Based Investigation of the Influence of Wheel Suspension Characteristics on Tire Wear","year":"2020","author":[{"id":"22109","full_name":"Schütte, Jan","last_name":"Schütte","orcid":"0000-0001-9025-9742","first_name":"Jan"},{"full_name":"Sextro, Walter","last_name":"Sextro","first_name":"Walter","id":"21220"}],"publication_identifier":{"issn":["2195-4356","2195-4364"],"isbn":["9783030380762","9783030380779"]},"doi":"10.1007/978-3-030-38077-9_201","user_id":"22109","_id":"22007","language":[{"iso":"eng"}]},{"department":[{"_id":"151"}],"type":"conference","date_created":"2020-07-06T07:41:21Z","abstract":[{"text":"Ultrasonic wire bonding is a process to form electrical connections in electronics well established industry. Typically, a clamping tool is pressed on the wire and forced to vibrate at relative high frequency 40 to 100 kHz. The ultrasonic vibration is transmitted through the wire into the interface between wire and substrate. Due to frictional processes, contamination like oxide layers are removed from the contact zone, the surface roughness is reduced, and with increasing bond duration an metallic connection of wire and substrate is established. It is known that the amount of ultrasonic energy over time directly influences the strength and reliability of the bond connection, but the determination of optimum bond parameters is still a challenging experimental task. For this, in the past different model approaches have been presented, to calculate the bond quality by simulation. Measuring the friction between wire and substrate to validate these models is a challenging task at ultrasonic bonding frequency. Therefore a versatile test rig for bonding experiments at frequencies lower than 1 kHz is setup to get detailed insight into the different phases of the connection process. It includes a piezoelectric force sensor for the measurement of the three-dimensional process forces, an electrodynamic shaker for the vibration excitation and a conventional tension-compression testing machine to apply the bond normal force. Using this test rig, it is possible to observe the different phases of bond formation in detail, validate and enhance existing models and finally optimize bond parameters for different processes.","lang":"eng"}],"quality_controlled":"1","citation":{"apa":"Schemmel, R., Scheidemann, C., Hemsel, T., Kirsch, O., &#38; Sextro, W. (2020). Experimental analysis and modelling of bond formation in ultrasonic heavy wire bonding. <i>CIPS 2020; 11th International Conference on Integrated Power Electronics Systems</i>, 1–6.","ieee":"R. Schemmel, C. Scheidemann, T. Hemsel, O. Kirsch, and W. Sextro, “Experimental analysis and modelling of bond formation in ultrasonic heavy wire bonding,” in <i>CIPS 2020; 11th International Conference on Integrated Power Electronics Systems</i>, 2020, pp. 1–6.","short":"R. Schemmel, C. Scheidemann, T. Hemsel, O. Kirsch, W. Sextro, in: CIPS 2020; 11th International Conference on Integrated Power Electronics Systems, 2020, pp. 1–6.","chicago":"Schemmel, Reinhard, Claus Scheidemann, Tobias Hemsel, Olaf  Kirsch, and Walter Sextro. “Experimental Analysis and Modelling of Bond Formation in Ultrasonic Heavy Wire Bonding.” In <i>CIPS 2020; 11th International Conference on Integrated Power Electronics Systems</i>, 1–6, 2020.","mla":"Schemmel, Reinhard, et al. “Experimental Analysis and Modelling of Bond Formation in Ultrasonic Heavy Wire Bonding.” <i>CIPS 2020; 11th International Conference on Integrated Power Electronics Systems</i>, 2020, pp. 1–6.","ama":"Schemmel R, Scheidemann C, Hemsel T, Kirsch O, Sextro W. Experimental analysis and modelling of bond formation in ultrasonic heavy wire bonding. In: <i>CIPS 2020; 11th International Conference on Integrated Power Electronics Systems</i>. ; 2020:1-6.","bibtex":"@inproceedings{Schemmel_Scheidemann_Hemsel_Kirsch_Sextro_2020, title={Experimental analysis and modelling of bond formation in ultrasonic heavy wire bonding}, booktitle={CIPS 2020; 11th International Conference on Integrated Power Electronics Systems}, author={Schemmel, Reinhard and Scheidemann, Claus and Hemsel, Tobias and Kirsch, Olaf  and Sextro, Walter}, year={2020}, pages={1–6} }"},"publication":"CIPS 2020; 11th International Conference on Integrated Power Electronics Systems","user_id":"210","_id":"17355","language":[{"iso":"eng"}],"page":"1-6","date_updated":"2023-09-21T14:27:32Z","author":[{"id":"28647","full_name":"Schemmel, Reinhard","last_name":"Schemmel","first_name":"Reinhard"},{"full_name":"Scheidemann, Claus","first_name":"Claus","last_name":"Scheidemann","id":"38259"},{"id":"210","full_name":"Hemsel, Tobias","last_name":"Hemsel","first_name":"Tobias"},{"full_name":"Kirsch, Olaf ","first_name":"Olaf ","last_name":"Kirsch"},{"id":"21220","last_name":"Sextro","first_name":"Walter","full_name":"Sextro, Walter"}],"title":"Experimental analysis and modelling of bond formation in ultrasonic heavy wire bonding","year":"2020","status":"public"},{"abstract":[{"lang":"eng","text":"Schwingungsprobleme in der Technik analysieren, verstehen und beschreiben Schwingungen treten als nützliche oder auch als störende Erscheinungen fast überall in Natur und Technik auf. Deshalb ist es wichtig, sie zu verstehen, zu deuten oder auch in gewünschter Weise zu beeinflussen. Dieses Lehrbuch gibt eine Einführung in die physikalischen Grundlagen und die mathematische Behandlung von Schwingungen. In der aktuellen Auflage wurden der Text und die Bilder überarbeitet sowie konstruktive Hinweise von Fachkollegen berücksichtigt. Der Inhalt Grundbegriffe und Darstellungsmittel - Freie Schwingungen - Selbsterregte Schwingungen - Parametererregte Schwingungen - Erzwungene Schwingungen - Koppelschwingungen - Kontinuumsschwingungen - Chaotische Bewegungen - Aufgaben und Ergebnisse Die Zielgruppe Studierende der Ingenieurwissenschaften, der Physik und der Mathematik, berufstätige Ingenieure"}],"citation":{"mla":"Magnus, Kurt, et al. <i>Schwingungen</i>. Springer Vieweg Wiesbaden, 2020, doi:<a href=\"https://doi.org/10.1007/978-3-658-31116-2\">10.1007/978-3-658-31116-2</a>.","apa":"Magnus, K., Popp, K., &#38; Sextro, W. (2020). <i>Schwingungen</i>. Springer Vieweg Wiesbaden. <a href=\"https://doi.org/10.1007/978-3-658-31116-2\">https://doi.org/10.1007/978-3-658-31116-2</a>","ieee":"K. Magnus, K. Popp, and W. Sextro, <i>Schwingungen</i>. Springer Vieweg Wiesbaden, 2020.","short":"K. Magnus, K. Popp, W. Sextro, Schwingungen, Springer Vieweg Wiesbaden, 2020.","ama":"Magnus K, Popp K, Sextro W. <i>Schwingungen</i>. Springer Vieweg Wiesbaden; 2020. doi:<a href=\"https://doi.org/10.1007/978-3-658-31116-2\">10.1007/978-3-658-31116-2</a>","chicago":"Magnus, Kurt, Karl Popp, and Walter Sextro. <i>Schwingungen</i>. Springer Vieweg Wiesbaden, 2020. <a href=\"https://doi.org/10.1007/978-3-658-31116-2\">https://doi.org/10.1007/978-3-658-31116-2</a>.","bibtex":"@book{Magnus_Popp_Sextro_2020, title={Schwingungen}, DOI={<a href=\"https://doi.org/10.1007/978-3-658-31116-2\">10.1007/978-3-658-31116-2</a>}, publisher={Springer Vieweg Wiesbaden}, author={Magnus, Kurt and Popp, Karl and Sextro, Walter}, year={2020} }"},"department":[{"_id":"151"}],"type":"book","date_created":"2019-05-20T11:06:33Z","date_updated":"2023-09-21T14:02:49Z","publication_status":"published","publication_identifier":{"isbn":["978-3-658-31115-5"],"eisbn":["978-3-658-31116-2"]},"author":[{"last_name":"Magnus","first_name":"Kurt","full_name":"Magnus, Kurt"},{"full_name":"Popp, Karl","last_name":"Popp","first_name":"Karl"},{"id":"21220","last_name":"Sextro","first_name":"Walter","full_name":"Sextro, Walter"}],"year":"2020","status":"public","title":"Schwingungen","doi":"10.1007/978-3-658-31116-2","user_id":"210","publisher":"Springer Vieweg Wiesbaden","_id":"9857","language":[{"iso":"ger"}],"page":"285"},{"date_updated":"2023-09-21T14:16:41Z","publication_status":"published","title":"Co-simulation of MATLAB and ANSYS for ultrasonic wire bonding process optimization","status":"public","year":"2020","publication_identifier":{"isbn":["9781728160498"]},"author":[{"full_name":"Schemmel, Reinhard","first_name":"Reinhard","last_name":"Schemmel","id":"28647"},{"first_name":"Viktor","last_name":"Krieger","full_name":"Krieger, Viktor"},{"last_name":"Hemsel","first_name":"Tobias","full_name":"Hemsel, Tobias","id":"210"},{"full_name":"Sextro, Walter","last_name":"Sextro","first_name":"Walter","id":"21220"}],"doi":"10.1109/eurosime48426.2020.9152679","user_id":"210","_id":"17706","language":[{"iso":"eng"}],"publication":"2020 21st International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE)","citation":{"ieee":"R. Schemmel, V. Krieger, T. Hemsel, and W. Sextro, “Co-simulation of MATLAB and ANSYS for ultrasonic wire bonding process optimization,” 2020, doi: <a href=\"https://doi.org/10.1109/eurosime48426.2020.9152679\">10.1109/eurosime48426.2020.9152679</a>.","mla":"Schemmel, Reinhard, et al. “Co-Simulation of MATLAB and ANSYS for Ultrasonic Wire Bonding Process Optimization.” <i>2020 21st International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE)</i>, 2020, doi:<a href=\"https://doi.org/10.1109/eurosime48426.2020.9152679\">10.1109/eurosime48426.2020.9152679</a>.","apa":"Schemmel, R., Krieger, V., Hemsel, T., &#38; Sextro, W. (2020). Co-simulation of MATLAB and ANSYS for ultrasonic wire bonding process optimization. <i>2020 21st International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE)</i>. <a href=\"https://doi.org/10.1109/eurosime48426.2020.9152679\">https://doi.org/10.1109/eurosime48426.2020.9152679</a>","bibtex":"@inproceedings{Schemmel_Krieger_Hemsel_Sextro_2020, title={Co-simulation of MATLAB and ANSYS for ultrasonic wire bonding process optimization}, DOI={<a href=\"https://doi.org/10.1109/eurosime48426.2020.9152679\">10.1109/eurosime48426.2020.9152679</a>}, booktitle={2020 21st International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE)}, author={Schemmel, Reinhard and Krieger, Viktor and Hemsel, Tobias and Sextro, Walter}, year={2020} }","short":"R. Schemmel, V. Krieger, T. Hemsel, W. Sextro, in: 2020 21st International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE), 2020.","ama":"Schemmel R, Krieger V, Hemsel T, Sextro W. Co-simulation of MATLAB and ANSYS for ultrasonic wire bonding process optimization. In: <i>2020 21st International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE)</i>. ; 2020. doi:<a href=\"https://doi.org/10.1109/eurosime48426.2020.9152679\">10.1109/eurosime48426.2020.9152679</a>","chicago":"Schemmel, Reinhard, Viktor Krieger, Tobias Hemsel, and Walter Sextro. “Co-Simulation of MATLAB and ANSYS for Ultrasonic Wire Bonding Process Optimization.” In <i>2020 21st International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE)</i>, 2020. <a href=\"https://doi.org/10.1109/eurosime48426.2020.9152679\">https://doi.org/10.1109/eurosime48426.2020.9152679</a>."},"type":"conference","department":[{"_id":"151"}],"date_created":"2020-08-07T09:49:17Z"},{"date_created":"2020-08-11T13:32:40Z","type":"conference","keyword":["PHM 2019","crack propagation","forecasting","unevenly spaced time series","step ahead prediction","short time series"],"department":[{"_id":"151"}],"issue":"1","publication":"PHM Society European Conference","citation":{"ieee":"O. K. Aimiyekagbon, A. Bender, and W. Sextro, “Evaluation of time series forecasting approaches for the reliable crack length prediction of riveted aluminium plates given insufficient data,” in <i>PHM Society European Conference</i>, 2020, vol. 5, no. 1.","apa":"Aimiyekagbon, O. K., Bender, A., &#38; Sextro, W. (2020). Evaluation of time series forecasting approaches for the reliable crack length prediction of riveted aluminium plates given insufficient data. <i>PHM Society European Conference</i>, <i>5</i>(1).","mla":"Aimiyekagbon, Osarenren Kennedy, et al. “Evaluation of Time Series Forecasting Approaches for the Reliable Crack Length Prediction of Riveted Aluminium Plates given Insufficient Data.” <i>PHM Society European Conference</i>, vol. 5, no. 1, 2020.","bibtex":"@inproceedings{Aimiyekagbon_Bender_Sextro_2020, title={Evaluation of time series forecasting approaches for the reliable crack length prediction of riveted aluminium plates given insufficient data}, volume={5}, number={1}, booktitle={PHM Society European Conference}, author={Aimiyekagbon, Osarenren Kennedy and Bender, Amelie and Sextro, Walter}, year={2020} }","short":"O.K. Aimiyekagbon, A. Bender, W. Sextro, in: PHM Society European Conference, 2020.","ama":"Aimiyekagbon OK, Bender A, Sextro W. Evaluation of time series forecasting approaches for the reliable crack length prediction of riveted aluminium plates given insufficient data. In: <i>PHM Society European Conference</i>. Vol 5. ; 2020.","chicago":"Aimiyekagbon, Osarenren Kennedy, Amelie Bender, and Walter Sextro. “Evaluation of Time Series Forecasting Approaches for the Reliable Crack Length Prediction of Riveted Aluminium Plates given Insufficient Data.” In <i>PHM Society European Conference</i>, Vol. 5, 2020."},"quality_controlled":"1","abstract":[{"lang":"eng","text":"In all fields, the significance of a reliable and accurate predictive model is almost unquantifiable. With deep domain knowledge, models derived from first principles typically outperforms other models in terms of reliability and accuracy. When it may become a cumbersome or an unachievable task to build or validate such models of complex (non-linear) systems, machine learning techniques are employed to build predictive models. However, the accuracy of such techniques is not only dependent on the hyper-parameters of the chosen algorithm, but also on the amount and quality of data. This paper investigates the application of classical time series forecasting approaches for the reliable prognostics of technical systems, where black box machine learning techniques might not successfully be employed given insufficient amount of data and where first principles models are infeasible due to lack of domain specific data. Forecasting by analogy, forecasting by analytical function fitting, an exponential smoothing forecasting method and the long short-term memory (LSTM) are evaluated and compared against the ground truth data. As a case study, the methods are applied to predict future crack lengths of riveted aluminium plates under cyclic loading. The performance of the predictive models is evaluated based on error metrics leading to a proposal of when to apply which forecasting approach."}],"language":[{"iso":"eng"}],"_id":"17810","user_id":"9557","volume":5,"status":"public","title":"Evaluation of time series forecasting approaches for the reliable crack length prediction of riveted aluminium plates given insufficient data","year":"2020","author":[{"full_name":"Aimiyekagbon, Osarenren Kennedy","last_name":"Aimiyekagbon","first_name":"Osarenren Kennedy","id":"9557"},{"id":"54290","last_name":"Bender","first_name":"Amelie","full_name":"Bender, Amelie"},{"id":"21220","last_name":"Sextro","first_name":"Walter","full_name":"Sextro, Walter"}],"date_updated":"2023-09-22T09:13:16Z","intvolume":"         5"},{"department":[{"_id":"151"}],"type":"patent","date_created":"2019-05-27T09:46:54Z","file":[{"creator":"ekubi","date_created":"2022-09-07T05:17:34Z","date_updated":"2022-09-07T05:17:34Z","relation":"main_file","access_level":"closed","file_size":115020,"file_name":"EP000003358332B1_1.pdf","content_type":"application/pdf","success":1,"file_id":"33277"}],"ipc":"G01M 13/00","abstract":[{"lang":"ger","text":"Die Erfindung betrifft ein Gerät mit wenigstens einem elastisch verformbaren Bauteil als Strukturteil und/oder Lagerteil, auf das im Betriebsverlauf von wechselnden Betriebszuständen abhängige, unterschiedliche Verformungskräfte einwirken, die zu einem die Bauteilnutzungsdauer begrenzenden Bauteilverschleiß führen, und mit einer Einrichtung zur Bestimmung der Bauteilnutzungsdauer und einer verschleißbedingten Bauteil-Restnutzungsdauer. Erfindungsgemäß wird ein sich zeitversetzt wiederholender, jeweils gleicher Betriebszustand vorbestimmt, dem eine jeweils gleiche Verformungskraft zugeordnet ist, durch die das elastisch verformbare Bauteilmaterial verformt wird. Ein solcher vorbestimmter Betriebszustand wird jeweils von einer Mess- und Auswerteeinheit erkannt und ein Messvorgang durch ein Startsignal selbsttätig gestartet, wobei mit wenigstens einem bauteilzugeordneten Beschleunigungssensor, die aktuelle Beschleunigung der Verformung oder daraus abgeleitete Kennwerte als Kenngröße für eine aktuelle Bauteilsteifigkeit gemessen und jeweils in einer Messkurve gespeichert und verglichen wird."}],"application_date":"01.02.2018","ipn":"EP 3 358 332 B1","date_updated":"2023-09-28T09:49:19Z","author":[{"last_name":"Reinke","first_name":"Kai","full_name":"Reinke, Kai"},{"full_name":"Bender, Amelie","last_name":"Bender","first_name":"Amelie","id":"54290"},{"full_name":"Meyer, Tobias","first_name":"Tobias","last_name":"Meyer"},{"id":"21220","full_name":"Sextro, Walter","first_name":"Walter","last_name":"Sextro"},{"last_name":"Kimotho","first_name":"James Kuria","full_name":"Kimotho, James Kuria"}],"title":"Patent EP 3 358 332 B1: Verfahren zur Bestimmung des Beginns einer verschleißbedingten Bauteil-Restnutzungsdauer eines elastisch verformbaren Bauteils, als Strukturteil und/oder Lagerteil eines Geräts.","year":"2020","application_number":"18154730.8","citation":{"apa":"Reinke, K., Bender, A., Meyer, T., Sextro, W., &#38; Kimotho, J. K. (2020). <i>Patent EP 3 358 332 B1: Verfahren zur Bestimmung des Beginns einer verschleißbedingten Bauteil-Restnutzungsdauer eines elastisch verformbaren Bauteils, als Strukturteil und/oder Lagerteil eines Geräts.</i>","mla":"Reinke, Kai, et al. <i>Patent EP 3 358 332 B1: Verfahren Zur Bestimmung Des Beginns Einer Verschleißbedingten Bauteil-Restnutzungsdauer Eines Elastisch Verformbaren Bauteils, Als Strukturteil Und/Oder Lagerteil Eines Geräts.</i> 2020.","ieee":"K. Reinke, A. Bender, T. Meyer, W. Sextro, and J. K. Kimotho, “Patent EP 3 358 332 B1: Verfahren zur Bestimmung des Beginns einer verschleißbedingten Bauteil-Restnutzungsdauer eines elastisch verformbaren Bauteils, als Strukturteil und/oder Lagerteil eines Geräts.” 2020.","short":"K. Reinke, A. Bender, T. Meyer, W. Sextro, J.K. Kimotho, (2020).","ama":"Reinke K, Bender A, Meyer T, Sextro W, Kimotho JK. Patent EP 3 358 332 B1: Verfahren zur Bestimmung des Beginns einer verschleißbedingten Bauteil-Restnutzungsdauer eines elastisch verformbaren Bauteils, als Strukturteil und/oder Lagerteil eines Geräts. Published online 2020.","chicago":"Reinke, Kai, Amelie Bender, Tobias Meyer, Walter Sextro, and James Kuria Kimotho. “Patent EP 3 358 332 B1: Verfahren Zur Bestimmung Des Beginns Einer Verschleißbedingten Bauteil-Restnutzungsdauer Eines Elastisch Verformbaren Bauteils, Als Strukturteil Und/Oder Lagerteil Eines Geräts.,” 2020.","bibtex":"@article{Reinke_Bender_Meyer_Sextro_Kimotho_2020, title={Patent EP 3 358 332 B1: Verfahren zur Bestimmung des Beginns einer verschleißbedingten Bauteil-Restnutzungsdauer eines elastisch verformbaren Bauteils, als Strukturteil und/oder Lagerteil eines Geräts.}, author={Reinke, Kai and Bender, Amelie and Meyer, Tobias and Sextro, Walter and Kimotho, James Kuria}, year={2020} }"},"file_date_updated":"2022-09-07T05:17:34Z","user_id":"210","ddc":["620"],"publication_date":"15.07.2020","_id":"9981","page":"1","has_accepted_license":"1","status":"public"}]