[{"ipn":"DE: 10 2017 000 926 B4 ","application_number":"10 2017 000 926.0","ipc":"G01M 7/00 (2006.01)","date_updated":"2023-09-28T09:48:38Z","author":[{"first_name":"Kai","last_name":"Reinke","full_name":"Reinke, Kai"},{"last_name":"Bender","id":"54290","full_name":"Bender, Amelie","first_name":"Amelie"},{"last_name":"Meyer","full_name":"Meyer, Tobias","first_name":"Tobias"},{"id":"21220","full_name":"Sextro, Walter","last_name":"Sextro","first_name":"Walter"},{"full_name":"Kimotho, James Kuria","last_name":"Kimotho","first_name":"James Kuria"}],"page":"1","citation":{"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.","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.","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.","short":"K. Reinke, A. Bender, T. Meyer, W. Sextro, J.K. Kimotho, (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.","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} }","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>"},"has_accepted_license":"1","file_date_updated":"2022-09-07T05:04:49Z","_id":"9980","department":[{"_id":"151"}],"user_id":"210","status":"public","type":"patent","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.","date_created":"2019-05-27T09:44:22Z","application_date":"02.02.2017","year":"2022","ddc":["620"],"publication_date":"31.03.2022","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"}],"file":[{"content_type":"application/pdf","success":1,"relation":"main_file","date_updated":"2022-09-07T05:04:49Z","creator":"ekubi","date_created":"2022-09-07T05:04:49Z","file_size":244882,"access_level":"closed","file_id":"33276","file_name":"DE102017000926B4_1.pdf"}]},{"language":[{"iso":"ger"}],"keyword":["run-to-failure","rubber-metal element","bearing prognostics","non-stationary operating conditions","varying operating conditions","feature extraction","feature selection"],"user_id":"9557","department":[{"_id":"151"}],"_id":"27652","status":"public","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"}],"type":"conference","publication":"VDI-Berichte 2391","conference":{"start_date":"2021-11-16","name":"3. VDI-Fachtagung  ","location":"Würzburg","end_date":"2021-11-17"},"title":"Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten ","author":[{"first_name":"Osarenren Kennedy","last_name":"Aimiyekagbon","full_name":"Aimiyekagbon, Osarenren Kennedy","id":"9557"},{"last_name":"Bender","full_name":"Bender, Amelie","id":"54290","first_name":"Amelie"},{"last_name":"Sextro","full_name":"Sextro, Walter","id":"21220","first_name":"Walter"}],"date_created":"2021-11-22T07:42:44Z","date_updated":"2022-01-06T06:57:43Z","publisher":"VDI Verlag GmbH","citation":{"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.","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.","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.","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.","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} }","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.","short":"O.K. Aimiyekagbon, A. Bender, W. Sextro, in: VDI-Berichte 2391, VDI Verlag GmbH, Düsseldorf, 2021, pp. 197–210."},"page":"197 - 210","place":"Düsseldorf","year":"2021","publication_status":"published","publication_identifier":{"isbn":["978-3-18-092391-8"],"issn":["0083-5560 "]}},{"main_file_link":[{"open_access":"1","url":"https://www.mdpi.com/2624-8921/3/2/15"}],"doi":"10.3390/vehicles3020015","title":"Tire Wear Reduction Based on an Extended Multibody Rear Axle Model","author":[{"first_name":"Jan","last_name":"Schütte","orcid":"0000-0001-9025-9742","full_name":"Schütte, Jan","id":"22109"},{"id":"21220","full_name":"Sextro, Walter","last_name":"Sextro","first_name":"Walter"}],"date_created":"2021-11-17T09:47:49Z","oa":"1","date_updated":"2024-05-27T07:49:17Z","citation":{"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>","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>.","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>.","short":"J. Schütte, W. Sextro, Vehicles (2021) 233–256.","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} }","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>.","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>"},"page":"233-256","year":"2021","publication_status":"published","quality_controlled":"1","publication_identifier":{"issn":["2624-8921"]},"language":[{"iso":"eng"}],"user_id":"22109","department":[{"_id":"151"}],"_id":"27508","status":"public","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"}],"type":"journal_article","publication":"Vehicles"},{"publication":"Microelectronics Reliability","type":"journal_article","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."}],"status":"public","_id":"21436","department":[{"_id":"151"}],"user_id":"210","keyword":["Ultrasonic heavy wire bonding","Co-simulation","ANSYS","MATLAB","Process optimization","Friction coefficient","Copper-copper","Aluminium-copper"],"language":[{"iso":"eng"}],"quality_controlled":"1","publication_identifier":{"issn":["0026-2714"]},"publication_status":"published","year":"2021","intvolume":"       119","page":"114077","citation":{"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>.","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} }","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>","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>","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>."},"date_updated":"2023-09-21T14:15:33Z","volume":119,"date_created":"2021-03-10T09:37:02Z","author":[{"last_name":"Schemmel","full_name":"Schemmel, Reinhard","id":"28647","first_name":"Reinhard"},{"last_name":"Krieger","full_name":"Krieger, Viktor","first_name":"Viktor"},{"first_name":"Tobias","id":"210","full_name":"Hemsel, Tobias","last_name":"Hemsel"},{"first_name":"Walter","last_name":"Sextro","id":"21220","full_name":"Sextro, Walter"}],"title":"Co-simulation of MATLAB and ANSYS for ultrasonic wire bonding process optimization","doi":"https://doi.org/10.1016/j.microrel.2021.114077"},{"language":[{"iso":"eng"}],"keyword":["Hybrid prediction method","Multi-model particle filtering","Uncertainty quantification","RUL estimation"],"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."}],"date_created":"2021-07-14T06:29:08Z","title":"Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties","issue":"1","quality_controlled":"1","year":"2021","department":[{"_id":"151"}],"user_id":"54290","_id":"22724","type":"conference","status":"public","editor":[{"last_name":"Do","full_name":"Do, Phuc ","first_name":"Phuc "},{"first_name":"Steve","last_name":"King","full_name":"King, Steve"},{"full_name":"Fink,  Olga","last_name":"Fink","first_name":" Olga"}],"volume":6,"author":[{"first_name":"Amelie","last_name":"Bender","full_name":"Bender, Amelie","id":"54290"},{"full_name":"Sextro, Walter","id":"21220","last_name":"Sextro","first_name":"Walter"}],"date_updated":"2023-09-22T07:19:48Z","oa":"1","conference":{"name":"6th European Conference of Prognostics and Health Management","start_date":"2021-06-28","end_date":"2021-07-02"},"doi":"https://doi.org/10.36001/phme.2021.v6i1.2843 ","main_file_link":[{"open_access":"1","url":"https://papers.phmsociety.org/index.php/phme/article/view/2843"}],"publication_identifier":{"unknown":["978-1-936263-34-9"]},"publication_status":"published","intvolume":"         6","citation":{"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>.","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>","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} }","short":"A. Bender, W. Sextro, in: P. Do, S. King,  Olga Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021, 2021.","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>.","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>"}},{"abstract":[{"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.","lang":"eng"}],"file":[{"relation":"main_file","content_type":"application/pdf","file_id":"22508","access_level":"open_access","file_name":"Aimiyekagbon_et_al_2021_On_the_applicability_of_time_series_features_as_health_indicators_postPrint.pdf","title":"On the applicability of time series features as health indicators for technical systems operating under varying conditions","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/.","file_size":1875572,"creator":"kennedy","date_created":"2021-06-23T06:43:44Z","date_updated":"2021-06-23T06:50:07Z"}],"publication":"Proceedings of the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021)","ddc":["620"],"keyword":["Wind turbine diagnostics","bearing diagnostics","non-stationary operating conditions","varying operating conditions","feature extraction","feature selection","fault detection","failure detection"],"language":[{"iso":"eng"}],"year":"2021","quality_controlled":"1","title":"On the applicability of time series features as health indicators for technical systems operating under varying conditions","date_created":"2021-06-23T05:24:39Z","status":"public","type":"conference","file_date_updated":"2021-06-23T06:50:07Z","_id":"22507","user_id":"9557","department":[{"_id":"151"}],"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>.","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.","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.","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>."},"publication_status":"inpress","has_accepted_license":"1","conference":{"end_date":"2021-06-18","name":"Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021)","start_date":"2021-06-14"},"date_updated":"2023-09-22T08:10:34Z","oa":"1","author":[{"first_name":"Osarenren Kennedy","last_name":"Aimiyekagbon","full_name":"Aimiyekagbon, Osarenren Kennedy","id":"9557"},{"first_name":"Amelie","last_name":"Bender","full_name":"Bender, Amelie","id":"54290"},{"last_name":"Sextro","full_name":"Sextro, Walter","id":"21220","first_name":"Walter"}]},{"publication_status":"published","citation":{"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>.","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>.","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>","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>","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>.","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.","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} }"},"intvolume":"         6","page":"527-536","author":[{"last_name":"Aimiyekagbon","full_name":"Aimiyekagbon, Osarenren Kennedy","id":"9557","first_name":"Osarenren Kennedy"},{"full_name":"Muth, Lars","id":"77313","orcid":"0000-0002-2938-5616","last_name":"Muth","first_name":"Lars"},{"last_name":"Wohlleben","orcid":"0009-0009-9767-7168","id":"43991","full_name":"Wohlleben, Meike Claudia","first_name":"Meike Claudia"},{"first_name":"Amelie","full_name":"Bender, Amelie","id":"54290","last_name":"Bender"},{"first_name":"Walter","full_name":"Sextro, Walter","id":"21220","last_name":"Sextro"}],"volume":6,"date_updated":"2023-09-22T09:13:01Z","oa":"1","main_file_link":[{"url":"http://papers.phmsociety.org/index.php/phme/article/download/3042/1812","open_access":"1"}],"doi":"10.36001/phme.2021.v6i1.3042","conference":{"name":"PHM Society European Conference"},"type":"conference","status":"public","editor":[{"full_name":"Do, Phuc","last_name":"Do","first_name":"Phuc"},{"full_name":"King, Steve","last_name":"King","first_name":"Steve"},{"first_name":"Olga","last_name":"Fink","full_name":"Fink, Olga"}],"user_id":"9557","department":[{"_id":"151"}],"_id":"27111","issue":"1","quality_controlled":"1","year":"2021","date_created":"2021-11-03T12:26:39Z","title":"Rule-based Diagnostics of a Production Line","publication":"Proceedings of the European Conference of the PHM Society 2021","abstract":[{"lang":"eng","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."}],"language":[{"iso":"eng"}],"keyword":["PHME 2021","Feature Selection Classification","Feature Selection Clustering","Interpretable Model","Transparent Model","Industry 4.0","Real-World Diagnostics","Quality Control","Predictive Maintenance"]},{"status":"public","type":"journal_article","article_number":"100065","_id":"29293","project":[{"grant_number":"418701707","_id":"130","name":"TRR 285: TRR 285"},{"name":"TRR 285 - B: TRR 285 - Project Area B","_id":"132"},{"_id":"140","name":"TRR 285 – B01: TRR 285 - Subproject B01"}],"department":[{"_id":"151"},{"_id":"630"},{"_id":"149"},{"_id":"321"},{"_id":"9"}],"user_id":"15952","intvolume":"         6","citation":{"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>","short":"S. Martin, J. Schütte, C. Bäumler, W. Sextro, T. Tröster, Forces in Mechanics 6 (2021).","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>.","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>","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>.","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>."},"publication_identifier":{"issn":["2666-3597"]},"publication_status":"published","doi":"10.1016/j.finmec.2021.100065","main_file_link":[{"url":"https://www.sciencedirect.com/science/article/pii/S2666359721000561","open_access":"1"}],"oa":"1","date_updated":"2025-06-06T08:05:56Z","volume":6,"author":[{"id":"38177","full_name":"Martin, Sven","last_name":"Martin","first_name":"Sven"},{"first_name":"Jan","orcid":"0000-0001-9025-9742","last_name":"Schütte","full_name":"Schütte, Jan","id":"22109"},{"last_name":"Bäumler","full_name":"Bäumler, C.","first_name":"C."},{"full_name":"Sextro, Walter","id":"21220","last_name":"Sextro","first_name":"Walter"},{"full_name":"Tröster, Thomas","id":"553","last_name":"Tröster","first_name":"Thomas"}],"publication":"Forces in Mechanics","language":[{"iso":"eng"}],"year":"2021","quality_controlled":"1","title":"Identification of joints for a load-adapted shape in a body in white using steady state vehicle simulations","publisher":"Elsevier BV","date_created":"2022-01-12T10:30:02Z"},{"language":[{"iso":"eng"}],"user_id":"22109","department":[{"_id":"151"}],"_id":"22007","status":"public","type":"conference","publication":"Lecture Notes in Mechanical Engineering","doi":"10.1007/978-3-030-38077-9_201","title":"Model-Based Investigation of the Influence of Wheel Suspension Characteristics on Tire Wear","author":[{"last_name":"Schütte","orcid":"0000-0001-9025-9742","id":"22109","full_name":"Schütte, Jan","first_name":"Jan"},{"first_name":"Walter","full_name":"Sextro, Walter","id":"21220","last_name":"Sextro"}],"date_created":"2021-05-06T09:09:37Z","date_updated":"2024-05-27T07:48:56Z","citation":{"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>","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>.","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>.","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>","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>.","short":"J. Schütte, W. Sextro, in: Lecture Notes in Mechanical Engineering, Cham, 2020.","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} }"},"year":"2020","place":"Cham","publication_status":"published","publication_identifier":{"isbn":["9783030380762","9783030380779"],"issn":["2195-4356","2195-4364"]},"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.","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.","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} }","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.","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.","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."},"page":"1-6","year":"2020","quality_controlled":"1","title":"Experimental analysis and modelling of bond formation in ultrasonic heavy wire bonding","author":[{"last_name":"Schemmel","id":"28647","full_name":"Schemmel, Reinhard","first_name":"Reinhard"},{"first_name":"Claus","last_name":"Scheidemann","full_name":"Scheidemann, Claus","id":"38259"},{"first_name":"Tobias","full_name":"Hemsel, Tobias","id":"210","last_name":"Hemsel"},{"last_name":"Kirsch","full_name":"Kirsch, Olaf ","first_name":"Olaf "},{"full_name":"Sextro, Walter","id":"21220","last_name":"Sextro","first_name":"Walter"}],"date_created":"2020-07-06T07:41:21Z","date_updated":"2023-09-21T14:27:32Z","status":"public","abstract":[{"lang":"eng","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."}],"type":"conference","publication":"CIPS 2020; 11th International Conference on Integrated Power Electronics Systems","language":[{"iso":"eng"}],"user_id":"210","department":[{"_id":"151"}],"_id":"17355"},{"year":"2020","page":"285","citation":{"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>.","ieee":"K. Magnus, K. Popp, and W. Sextro, <i>Schwingungen</i>. Springer Vieweg Wiesbaden, 2020.","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} }","short":"K. Magnus, K. Popp, W. Sextro, Schwingungen, Springer Vieweg Wiesbaden, 2020.","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>"},"publication_identifier":{"isbn":["978-3-658-31115-5"],"eisbn":["978-3-658-31116-2"]},"publication_status":"published","title":"Schwingungen","doi":"10.1007/978-3-658-31116-2","publisher":"Springer Vieweg Wiesbaden","date_updated":"2023-09-21T14:02:49Z","author":[{"first_name":"Kurt","last_name":"Magnus","full_name":"Magnus, Kurt"},{"first_name":"Karl","full_name":"Popp, Karl","last_name":"Popp"},{"first_name":"Walter","last_name":"Sextro","id":"21220","full_name":"Sextro, Walter"}],"date_created":"2019-05-20T11:06:33Z","abstract":[{"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","lang":"eng"}],"status":"public","type":"book","language":[{"iso":"ger"}],"_id":"9857","department":[{"_id":"151"}],"user_id":"210"},{"status":"public","publication":"2020 21st International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE)","type":"conference","language":[{"iso":"eng"}],"department":[{"_id":"151"}],"user_id":"210","_id":"17706","citation":{"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.","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>.","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>","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>.","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>."},"year":"2020","publication_identifier":{"isbn":["9781728160498"]},"publication_status":"published","doi":"10.1109/eurosime48426.2020.9152679","title":"Co-simulation of MATLAB and ANSYS for ultrasonic wire bonding process optimization","date_created":"2020-08-07T09:49:17Z","author":[{"first_name":"Reinhard","full_name":"Schemmel, Reinhard","id":"28647","last_name":"Schemmel"},{"full_name":"Krieger, Viktor","last_name":"Krieger","first_name":"Viktor"},{"full_name":"Hemsel, Tobias","id":"210","last_name":"Hemsel","first_name":"Tobias"},{"first_name":"Walter","last_name":"Sextro","id":"21220","full_name":"Sextro, Walter"}],"date_updated":"2023-09-21T14:16:41Z"},{"publication":"PHM Society European Conference","type":"conference","status":"public","abstract":[{"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.","lang":"eng"}],"department":[{"_id":"151"}],"user_id":"9557","_id":"17810","language":[{"iso":"eng"}],"keyword":["PHM 2019","crack propagation","forecasting","unevenly spaced time series","step ahead prediction","short time series"],"issue":"1","quality_controlled":"1","intvolume":"         5","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.","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.","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.","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).","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.","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."},"year":"2020","volume":5,"date_created":"2020-08-11T13:32:40Z","author":[{"first_name":"Osarenren Kennedy","full_name":"Aimiyekagbon, Osarenren Kennedy","id":"9557","last_name":"Aimiyekagbon"},{"id":"54290","full_name":"Bender, Amelie","last_name":"Bender","first_name":"Amelie"},{"first_name":"Walter","id":"21220","full_name":"Sextro, Walter","last_name":"Sextro"}],"date_updated":"2023-09-22T09:13:16Z","title":"Evaluation of time series forecasting approaches for the reliable crack length prediction of riveted aluminium plates given insufficient data"},{"ipn":"EP 3 358 332 B1","application_number":"18154730.8","date_updated":"2023-09-28T09:49:19Z","ipc":"G01M 13/00","author":[{"last_name":"Reinke","full_name":"Reinke, Kai","first_name":"Kai"},{"first_name":"Amelie","full_name":"Bender, Amelie","id":"54290","last_name":"Bender"},{"full_name":"Meyer, Tobias","last_name":"Meyer","first_name":"Tobias"},{"last_name":"Sextro","id":"21220","full_name":"Sextro, Walter","first_name":"Walter"},{"first_name":"James Kuria","full_name":"Kimotho, James Kuria","last_name":"Kimotho"}],"citation":{"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.","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.","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.","short":"K. Reinke, A. Bender, T. Meyer, W. Sextro, J.K. Kimotho, (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} }","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.","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>"},"page":"1","has_accepted_license":"1","file_date_updated":"2022-09-07T05:17:34Z","_id":"9981","user_id":"210","department":[{"_id":"151"}],"status":"public","type":"patent","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.","date_created":"2019-05-27T09:46:54Z","application_date":"01.02.2018","year":"2020","ddc":["620"],"publication_date":"15.07.2020","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 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.","lang":"ger"}],"file":[{"content_type":"application/pdf","success":1,"relation":"main_file","date_updated":"2022-09-07T05:17:34Z","date_created":"2022-09-07T05:17:34Z","creator":"ekubi","file_size":115020,"file_name":"EP000003358332B1_1.pdf","access_level":"closed","file_id":"33277"}]},{"language":[{"iso":"ger"}],"department":[{"_id":"152"}],"user_id":"21240","_id":"23716","status":"public","editor":[{"first_name":"Torsten","full_name":"Bertram, Torsten","last_name":"Bertram"},{"first_name":"Burkhard","full_name":"Corves, Burkhard","last_name":"Corves"},{"first_name":"Iris","last_name":"Gräßler","full_name":"Gräßler, Iris"},{"first_name":"Klaus","last_name":"Janschek","full_name":"Janschek, Klaus"}],"abstract":[{"text":"In der Entwicklung mechatronischer Systeme spielt die Steigerung der Verlässlichkeit und somit auch der Zuverlässigkeit und der funktionalen Sicherheit eine entscheidende Rolle. Die modellbasierte Entwicklung liefert in Kombination mit unterstützender Software einen wichtigen Beitrag zur Absicherung der Verlässlichkeit mechatronischer Systeme in frühen Entwicklungsphasen. In der Nutzungsphase ermöglichen aktuelle Verfahren der Zustandsüberwachung und moderne Methoden der Regelungstechnik eine effektive Absicherung. Modelle aus der Entwicklung mechatronischer Systeme enthalten weitreichende Informationen über die Architektur, das Verhalten und die Verlässlichkeit eines Systems. Diese Modelle können als Grundlage für die Erstellung eines Digitalen Zwillings für die vorausschauende Instandhaltung verwendet und mit Zustandsdaten des realen Systems kombiniert werden. Die Nutzung der Modelle für den Digitalen Zwilling bietet weitreichende Potenziale und vereinfacht dessen Erzeugung. Die Veröffentlichung beschreibt Rahmenbedingungen der Integration und stellt die Potenziale des Digitalen Zwillings zur vorausschauenden Instandhaltung dar.","lang":"eng"}],"publication":"Fachtagung Mechatronik 2019 Paderborn","type":"conference","conference":{"start_date":"2019-03-27","end_date":"2019-03-28"},"title":"Integration von Verlässlichkeitsmodellen der Entwicklung in einen Digitalen Zwilling zur Umsetzung einer vorausschauenden Instandhaltung","date_created":"2021-09-03T05:58:32Z","author":[{"first_name":"Thorben","id":"14802","full_name":"Kaul, Thorben","last_name":"Kaul"},{"id":"13342","full_name":"Hentze, Julian","last_name":"Hentze","first_name":"Julian"},{"last_name":"Sextro","id":"21220","full_name":"Sextro, Walter","first_name":"Walter"},{"last_name":"Gräßler","orcid":"0000-0001-5765-971X","full_name":"Gräßler, Iris","id":"47565","first_name":"Iris"}],"date_updated":"2022-01-06T06:55:58Z","page":"19-24","citation":{"ama":"Kaul T, Hentze J, Sextro W, Gräßler I. Integration von Verlässlichkeitsmodellen der Entwicklung in einen Digitalen Zwilling zur Umsetzung einer vorausschauenden Instandhaltung. In: Bertram T, Corves B, Gräßler I, Janschek K, eds. <i>Fachtagung Mechatronik 2019 Paderborn</i>. ; 2019:19-24.","ieee":"T. Kaul, J. Hentze, W. Sextro, and I. Gräßler, “Integration von Verlässlichkeitsmodellen der Entwicklung in einen Digitalen Zwilling zur Umsetzung einer vorausschauenden Instandhaltung,” in <i>Fachtagung Mechatronik 2019 Paderborn</i>, 2019, pp. 19–24.","chicago":"Kaul, Thorben, Julian Hentze, Walter Sextro, and Iris Gräßler. “Integration von Verlässlichkeitsmodellen der Entwicklung in einen Digitalen Zwilling zur Umsetzung einer vorausschauenden Instandhaltung.” In <i>Fachtagung Mechatronik 2019 Paderborn</i>, edited by Torsten Bertram, Burkhard Corves, Iris Gräßler, and Klaus Janschek, 19–24, 2019.","mla":"Kaul, Thorben, et al. “Integration von Verlässlichkeitsmodellen der Entwicklung in einen Digitalen Zwilling zur Umsetzung einer vorausschauenden Instandhaltung.” <i>Fachtagung Mechatronik 2019 Paderborn</i>, edited by Torsten Bertram et al., 2019, pp. 19–24.","short":"T. Kaul, J. Hentze, W. Sextro, I. Gräßler, in: T. Bertram, B. Corves, I. Gräßler, K. Janschek (Eds.), Fachtagung Mechatronik 2019 Paderborn, 2019, pp. 19–24.","bibtex":"@inproceedings{Kaul_Hentze_Sextro_Gräßler_2019, title={Integration von Verlässlichkeitsmodellen der Entwicklung in einen Digitalen Zwilling zur Umsetzung einer vorausschauenden Instandhaltung}, booktitle={Fachtagung Mechatronik 2019 Paderborn}, author={Kaul, Thorben and Hentze, Julian and Sextro, Walter and Gräßler, Iris}, editor={Bertram, Torsten and Corves, Burkhard and Gräßler, Iris and Janschek, KlausEditors}, year={2019}, pages={19–24} }","apa":"Kaul, T., Hentze, J., Sextro, W., &#38; Gräßler, I. (2019). Integration von Verlässlichkeitsmodellen der Entwicklung in einen Digitalen Zwilling zur Umsetzung einer vorausschauenden Instandhaltung. In T. Bertram, B. Corves, I. Gräßler, &#38; K. Janschek (Eds.), <i>Fachtagung Mechatronik 2019 Paderborn</i> (pp. 19–24)."},"year":"2019"},{"date_created":"2019-11-07T15:25:30Z","title":"Atomization of Fluids with Ultrasound","quality_controlled":"1","year":"2019","language":[{"iso":"eng"}],"keyword":["atomization","ultrasound","standing-wave","capillarywave","vibrating-mesh"],"ddc":["620"],"publication":"Conference Proceedings - The 4th Conference on MicroFluidic Handling Systems (MFHS2019)","file":[{"file_name":"Dunst_MFHS_2019.pdf","access_level":"closed","file_id":"14853","file_size":3850591,"creator":"pdunst","date_created":"2019-11-07T15:22:56Z","date_updated":"2019-11-07T15:22:56Z","relation":"main_file","success":1,"content_type":"application/pdf"}],"abstract":[{"lang":"eng","text":"In a variety of industrial applications, liquids are atomized to produce aerosols for further processing. Example applications are the coating of surfaces with paints, the application of ultra-thin adhesive layers and the atomization of fuels for the production of combustible dispersions. In this publication different atomizing principles (standing-wave, capillary-wave, vibrating-mesh) are examined and discussed. Using an optimized standing-wave system, tough liquids with viscosities of up to about 100 Pas could be successfully atomized."}],"author":[{"full_name":"Dunst, Paul","id":"22130","last_name":"Dunst","first_name":"Paul"},{"first_name":"Peter","last_name":"Bornmann","full_name":"Bornmann, Peter"},{"first_name":"Tobias","last_name":"Hemsel","id":"210","full_name":"Hemsel, Tobias"},{"last_name":"Littmann","full_name":"Littmann, Walter ","first_name":"Walter "},{"last_name":"Sextro","id":"21220","full_name":"Sextro, Walter","first_name":"Walter"}],"date_updated":"2022-01-06T06:52:08Z","conference":{"location":"Enschede, The Netherlands","end_date":"2019-10-04","start_date":"2019-10-02","name":"4th Conference on MicroFluidic Handling Systems"},"has_accepted_license":"1","publication_status":"published","page":"140-143","citation":{"apa":"Dunst, P., Bornmann, P., Hemsel, T., Littmann, W., &#38; Sextro, W. (2019). Atomization of Fluids with Ultrasound. In J. Lötters &#38; G. Urban (Eds.), <i>Conference Proceedings - The 4th Conference on MicroFluidic Handling Systems (MFHS2019)</i> (pp. 140–143). Enschede, The Netherlands.","mla":"Dunst, Paul, et al. “Atomization of Fluids with Ultrasound.” <i>Conference Proceedings - The 4th Conference on MicroFluidic Handling Systems (MFHS2019)</i>, edited by Joost Lötters and Gerald Urban, 2019, pp. 140–43.","bibtex":"@inproceedings{Dunst_Bornmann_Hemsel_Littmann_Sextro_2019, place={Enschede, The Netherlands}, title={Atomization of Fluids with Ultrasound}, booktitle={Conference Proceedings - The 4th Conference on MicroFluidic Handling Systems (MFHS2019)}, author={Dunst, Paul and Bornmann, Peter and Hemsel, Tobias and Littmann, Walter  and Sextro, Walter}, editor={Lötters, Joost and Urban, GeraldEditors}, year={2019}, pages={140–143} }","short":"P. Dunst, P. Bornmann, T. Hemsel, W. Littmann, W. Sextro, in: J. Lötters, G. Urban (Eds.), Conference Proceedings - The 4th Conference on MicroFluidic Handling Systems (MFHS2019), Enschede, The Netherlands, 2019, pp. 140–143.","chicago":"Dunst, Paul, Peter Bornmann, Tobias Hemsel, Walter  Littmann, and Walter Sextro. “Atomization of Fluids with Ultrasound.” In <i>Conference Proceedings - The 4th Conference on MicroFluidic Handling Systems (MFHS2019)</i>, edited by Joost Lötters and Gerald Urban, 140–43. Enschede, The Netherlands, 2019.","ieee":"P. Dunst, P. Bornmann, T. Hemsel, W. Littmann, and W. Sextro, “Atomization of Fluids with Ultrasound,” in <i>Conference Proceedings - The 4th Conference on MicroFluidic Handling Systems (MFHS2019)</i>, Enschede, The Netherlands, 2019, pp. 140–143.","ama":"Dunst P, Bornmann P, Hemsel T, Littmann W, Sextro W. Atomization of Fluids with Ultrasound. In: Lötters J, Urban G, eds. <i>Conference Proceedings - The 4th Conference on MicroFluidic Handling Systems (MFHS2019)</i>. Enschede, The Netherlands; 2019:140-143."},"place":"Enschede, The Netherlands","department":[{"_id":"151"}],"user_id":"22130","_id":"14852","file_date_updated":"2019-11-07T15:22:56Z","type":"conference","status":"public","editor":[{"first_name":"Joost","full_name":"Lötters, Joost","last_name":"Lötters"},{"full_name":"Urban, Gerald","last_name":"Urban","first_name":"Gerald"}]},{"title":"Messung hochfrequenter In-Plane-Schwingungen mittels Laservibrometrie in räumlich eingeschränkten Umgebungen","author":[{"first_name":"Oliver Ernst Caspar","full_name":"Hagedorn, Oliver Ernst Caspar","id":"53321","last_name":"Hagedorn"},{"first_name":"Daniel","last_name":"Pielsticker","id":"76966","full_name":"Pielsticker, Daniel"},{"last_name":"Hemsel","full_name":"Hemsel, Tobias","id":"210","first_name":"Tobias"},{"full_name":"Sextro, Walter","id":"21220","last_name":"Sextro","first_name":"Walter"}],"date_created":"2019-12-04T11:59:52Z","date_updated":"2022-01-06T06:52:19Z","publisher":"VDI Verlag GmbH · Düsseldorf 2019","citation":{"ama":"Hagedorn OEC, Pielsticker D, Hemsel T, Sextro W. Messung hochfrequenter In-Plane-Schwingungen mittels Laservibrometrie in räumlich eingeschränkten Umgebungen. In: <i>2. VDI-Fachtagung Schwingungen 2019</i>. VDI Verlag GmbH · Düsseldorf 2019; 2019.","ieee":"O. E. C. Hagedorn, D. Pielsticker, T. Hemsel, and W. Sextro, “Messung hochfrequenter In-Plane-Schwingungen mittels Laservibrometrie in räumlich eingeschränkten Umgebungen,” in <i>2. VDI-Fachtagung Schwingungen 2019</i>, 2019.","chicago":"Hagedorn, Oliver Ernst Caspar, Daniel Pielsticker, Tobias Hemsel, and Walter Sextro. “Messung hochfrequenter In-Plane-Schwingungen mittels Laservibrometrie in räumlich eingeschränkten Umgebungen.” In <i>2. VDI-Fachtagung Schwingungen 2019</i>. VDI Verlag GmbH · Düsseldorf 2019, 2019.","mla":"Hagedorn, Oliver Ernst Caspar, et al. “Messung hochfrequenter In-Plane-Schwingungen mittels Laservibrometrie in räumlich eingeschränkten Umgebungen.” <i>2. VDI-Fachtagung Schwingungen 2019</i>, VDI Verlag GmbH · Düsseldorf 2019, 2019.","short":"O.E.C. Hagedorn, D. Pielsticker, T. Hemsel, W. Sextro, in: 2. VDI-Fachtagung Schwingungen 2019, VDI Verlag GmbH · Düsseldorf 2019, 2019.","bibtex":"@inproceedings{Hagedorn_Pielsticker_Hemsel_Sextro_2019, title={Messung hochfrequenter In-Plane-Schwingungen mittels Laservibrometrie in räumlich eingeschränkten Umgebungen}, booktitle={2. VDI-Fachtagung Schwingungen 2019}, publisher={VDI Verlag GmbH · Düsseldorf 2019}, author={Hagedorn, Oliver Ernst Caspar and Pielsticker, Daniel and Hemsel, Tobias and Sextro, Walter}, year={2019} }","apa":"Hagedorn, O. E. C., Pielsticker, D., Hemsel, T., &#38; Sextro, W. (2019). Messung hochfrequenter In-Plane-Schwingungen mittels Laservibrometrie in räumlich eingeschränkten Umgebungen. In <i>2. VDI-Fachtagung Schwingungen 2019</i>. VDI Verlag GmbH · Düsseldorf 2019."},"year":"2019","publication_identifier":{"isbn":["978-3-18-092366-6"]},"language":[{"iso":"ger"}],"user_id":"53321","department":[{"_id":"151"}],"_id":"15244","status":"public","type":"conference","publication":"2. VDI-Fachtagung Schwingungen 2019"},{"status":"public","abstract":[{"text":"Dieses Buch beschreibt basierend auf dem gleichnamigen Innovationsprojekt im Spitzencluster it’s OWL die Entwicklung intelligenter Verfahren und Systeme, um auch unter variablen Produktionsbedingungen eine zuverlässige Massenfertigung von Kupferbondverbindungen sicherzustellen.Dabei wird der gesamte Prozess der Ultraschall-Verbindungsbildung modelliert. Dies beinhaltet u. a. ein Reibmodell mit gekoppeltem Anbindungsmodell, den Ultraschall-Erweichungseffekt und den Verschleiß des Bondwerkzeugs. Zudem wird das Konzept einer selbstoptimierenden Bondmaschine vorgestellt, welche Prozessparameter in Abhängigkeit von Störgrößen wie Verschleiß anpasst.Das Ultraschallbonden mit Aluminiumdraht ist ein etabliertes Fertigungsverfahren zur Kontaktierung von Leistungshalbleitern. Zukünftige Leistungshalbleiterchips erfordern jedoch einen Technologiewechsel zu Kupferdraht. Die Prozessparameter unterscheiden sich dabei deutlich von den bekannten Aluminiumprozessen, ihre Wechselwirkungen sind weitestgehend unbekannt.","lang":"ger"}],"type":"book","language":[{"iso":"eng"}],"keyword":["Abschlussbericht zum Spitzenclusterprojekt InCuB"],"user_id":"55222","department":[{"_id":"151"}],"_id":"10002","citation":{"ama":"Sextro W, Brökelmann M. <i>Intelligente Herstellung Zuverlässiger Kupferbondverbindungen</i>. Vol VIII. Springer Verlag; 2019. doi:<a href=\"https://doi.org/10.1007/978-3-662-55146-2\">10.1007/978-3-662-55146-2</a>","chicago":"Sextro, Walter, and Michael Brökelmann. <i>Intelligente Herstellung Zuverlässiger Kupferbondverbindungen</i>. Vol. VIII. Springer Verlag, 2019. <a href=\"https://doi.org/10.1007/978-3-662-55146-2\">https://doi.org/10.1007/978-3-662-55146-2</a>.","ieee":"W. Sextro and M. Brökelmann, <i>Intelligente Herstellung zuverlässiger Kupferbondverbindungen</i>, vol. VIII. Springer Verlag, 2019.","short":"W. Sextro, M. Brökelmann, Intelligente Herstellung Zuverlässiger Kupferbondverbindungen, Springer Verlag, 2019.","mla":"Sextro, Walter, and Michael Brökelmann. <i>Intelligente Herstellung Zuverlässiger Kupferbondverbindungen</i>. Vol. VIII, Springer Verlag, 2019, doi:<a href=\"https://doi.org/10.1007/978-3-662-55146-2\">10.1007/978-3-662-55146-2</a>.","bibtex":"@book{Sextro_Brökelmann_2019, title={Intelligente Herstellung zuverlässiger Kupferbondverbindungen}, volume={VIII}, DOI={<a href=\"https://doi.org/10.1007/978-3-662-55146-2\">10.1007/978-3-662-55146-2</a>}, publisher={Springer Verlag}, author={Sextro, Walter and Brökelmann, Michael}, year={2019} }","apa":"Sextro, W., &#38; Brökelmann, M. (2019). <i>Intelligente Herstellung zuverlässiger Kupferbondverbindungen</i> (Vol. VIII). Springer Verlag. <a href=\"https://doi.org/10.1007/978-3-662-55146-2\">https://doi.org/10.1007/978-3-662-55146-2</a>"},"page":"67","year":"2019","doi":"10.1007/978-3-662-55146-2","title":"Intelligente Herstellung zuverlässiger Kupferbondverbindungen","author":[{"full_name":"Sextro, Walter","id":"21220","last_name":"Sextro","first_name":"Walter"},{"first_name":"Michael","last_name":"Brökelmann","full_name":"Brökelmann, Michael"}],"date_created":"2019-05-27T10:31:35Z","volume":"VIII","date_updated":"2022-01-06T06:50:22Z","publisher":"Springer Verlag"},{"_id":"10255","user_id":"55222","department":[{"_id":"151"}],"language":[{"iso":"eng"}],"type":"conference","publication":"10. VDI-Fachtagung Schwingungen von Windenergieanlagen 2019","abstract":[{"lang":"eng","text":"Gummi-Metall-Teile (GM-Teile) werden zur Schwingungsreduktion u. a. in Windenergieanlagen eingesetzt. Mögliche Anwendungen der Teile liegen in Wellen-, Generator- und Getriebelagerungen, Lagern für die Gondel und ihre Komponenten sowie in Drehmomentstützen. Mit dem Ziel eine prädiktive Instandhaltung zu realisieren, soll eine Zustandsüberwachung für die GM-Teile entwickelt werden. Diese Entwicklung basiert auf der Umsetzung diverser Schritte. Neben der funktionalen Betrachtung wird zwingend auch die konstruktive Integration der Sensoren in das überwachte Teil berücksichtigt. Der Schwerpunkt dieser Arbeit liegt auf der verwendeten Messgröße Temperatur, die mittels ausgewählter Sensorik detektiert wird. Dabei werden Lebensdauerversuche unter instationären Betriebsbedingungen durchgeführt, um diese Messdaten zu generieren. In der Datenauswertung werden sie hinsichtlich der Degradierung des GM-Teils analysiert und für die Ermittlung der nutzbaren Restlebensdauer verwendet. Rubber-metal-elements are used for isolation of vibrations e. g. in wind turbines. Possible applications of the elements are shaft bearings, generator bearings, gearbox bearings, bearings for the nacelle and its components and torque supports. In order to realize predictive maintenance, an accurate condition monitoring system for rubber-metal-elements should be developed. During that development different aspects have to be implemented. Additionally to the functional analysis, the constructive integration of the sensors into the monitored part is mandatory. The focus of this work is on the measured variable temperature, which is detected by means of appropriate sensors. Thereby lifetime tests are run under non-stationary operating conditions to generate temperature measurements. During data analysis, the measured data is analyzed regarding the degradation of the rubber-metal-elements and remaining useful lifetimes are estimated."}],"status":"public","date_updated":"2022-01-06T06:50:33Z","author":[{"id":"54290","full_name":"Bender, Amelie","last_name":"Bender","first_name":"Amelie"},{"first_name":"Kai","last_name":"Reinke","full_name":"Reinke, Kai"},{"first_name":"Walter","id":"21220","full_name":"Sextro, Walter","last_name":"Sextro"}],"date_created":"2019-06-17T09:36:23Z","volume":"VDI-Berichte 2346","title":"Konstruktion und Zustandsüberwachung eines Gummi-Metall-Teils mit integriertem Thermoelement","place":"Bremen 2019","year":"2019","citation":{"ieee":"A. Bender, K. Reinke, and W. Sextro, “Konstruktion und Zustandsüberwachung eines Gummi-Metall-Teils mit integriertem Thermoelement,” in <i>10. VDI-Fachtagung Schwingungen von Windenergieanlagen 2019</i>, 2019, vol. VDI-Berichte 2346, pp. 241–248.","chicago":"Bender, Amelie, Kai Reinke, and Walter Sextro. “Konstruktion Und Zustandsüberwachung Eines Gummi-Metall-Teils Mit Integriertem Thermoelement.” In <i>10. VDI-Fachtagung Schwingungen von Windenergieanlagen 2019</i>, VDI-Berichte 2346:241–48. Bremen 2019, 2019.","ama":"Bender A, Reinke K, Sextro W. Konstruktion und Zustandsüberwachung eines Gummi-Metall-Teils mit integriertem Thermoelement. In: <i>10. VDI-Fachtagung Schwingungen von Windenergieanlagen 2019</i>. Vol VDI-Berichte 2346. Bremen 2019; 2019:241-248.","apa":"Bender, A., Reinke, K., &#38; Sextro, W. (2019). Konstruktion und Zustandsüberwachung eines Gummi-Metall-Teils mit integriertem Thermoelement. In <i>10. VDI-Fachtagung Schwingungen von Windenergieanlagen 2019</i> (Vol. VDI-Berichte 2346, pp. 241–248). Bremen 2019.","short":"A. Bender, K. Reinke, W. Sextro, in: 10. VDI-Fachtagung Schwingungen von Windenergieanlagen 2019, Bremen 2019, 2019, pp. 241–248.","bibtex":"@inproceedings{Bender_Reinke_Sextro_2019, place={Bremen 2019}, title={Konstruktion und Zustandsüberwachung eines Gummi-Metall-Teils mit integriertem Thermoelement}, volume={VDI-Berichte 2346}, booktitle={10. VDI-Fachtagung Schwingungen von Windenergieanlagen 2019}, author={Bender, Amelie and Reinke, Kai and Sextro, Walter}, year={2019}, pages={241–248} }","mla":"Bender, Amelie, et al. “Konstruktion Und Zustandsüberwachung Eines Gummi-Metall-Teils Mit Integriertem Thermoelement.” <i>10. VDI-Fachtagung Schwingungen von Windenergieanlagen 2019</i>, vol. VDI-Berichte 2346, 2019, pp. 241–48."},"page":"241-248"},{"language":[{"iso":"eng"}],"_id":"10257","user_id":"55222","department":[{"_id":"151"}],"abstract":[{"lang":"eng","text":"In der Entwicklung mechatronischer Systeme spielt die Steigerung der Verlässlichkeit und somit auch der Zuverlässigkeit und der funktionalen Sicherheit eine entscheidende Rolle. Die modellbasierte Entwicklung liefert in Kombination mit unterstützender Software einen wichtigen Beitrag zur Absicherung der Verlässlichkeit mechatronischer Systeme in frühen Entwicklungsphasen. In der Nutzungsphase ermöglichen aktuelle Verfahren der Zustandsüberwachung und moderne Methoden der Regelungstechnik eine effektive Absicherung. Modelle aus der Entwicklung mechatronischer Systeme enthalten weitreichende Informationen über die Architektur, das Verhalten und die Verlässlichkeit eines Systems. Diese Modelle können als Grundlage für die Erstellung eines Digitalen Zwillings für die vorausschauende Instandhaltung verwendet und mit Zustandsdaten des realen Systems kombiniert werden. Die Nutzung der Modelle für den Digitalen Zwilling bietet weitreichende Potenziale und vereinfacht dessen Erzeugung. Die Veröffentlichung beschreibt Rahmenbedingungen der Integration und stellt die Potenziale des Digitalen Zwillings zur vorausschauenden Instandhaltung dar."}],"status":"public","type":"conference","publication":"Fachtagung Mechatronik 2019 Paderborn","title":"Integration von Verlässlichkeitsmodellen der Entwicklung in einen Digitalen Zwilling zur Umsetzung einer vorausschauenden Instandhaltung","date_updated":"2022-01-06T06:50:33Z","author":[{"full_name":"Kaul, Thorben","id":"14802","last_name":"Kaul","first_name":"Thorben"},{"first_name":"Julian","last_name":"Hentze","id":"13342","full_name":"Hentze, Julian"},{"first_name":"Walter","last_name":"Sextro","id":"21220","full_name":"Sextro, Walter"},{"first_name":"Iris","last_name":"Gräßler","full_name":"Gräßler, Iris"}],"date_created":"2019-06-17T12:43:10Z","year":"2019","citation":{"mla":"Kaul, Thorben, et al. “Integration von Verlässlichkeitsmodellen Der Entwicklung in Einen Digitalen Zwilling Zur Umsetzung Einer Vorausschauenden Instandhaltung.” <i>Fachtagung Mechatronik 2019 Paderborn</i>, 2019.","short":"T. Kaul, J. Hentze, W. Sextro, I. Gräßler, in: Fachtagung Mechatronik 2019 Paderborn, 2019.","bibtex":"@inproceedings{Kaul_Hentze_Sextro_Gräßler_2019, title={Integration von Verlässlichkeitsmodellen der Entwicklung in einen Digitalen Zwilling zur Umsetzung einer vorausschauenden Instandhaltung}, booktitle={Fachtagung Mechatronik 2019 Paderborn}, author={Kaul, Thorben and Hentze, Julian and Sextro, Walter and Gräßler, Iris}, year={2019} }","apa":"Kaul, T., Hentze, J., Sextro, W., &#38; Gräßler, I. (2019). Integration von Verlässlichkeitsmodellen der Entwicklung in einen Digitalen Zwilling zur Umsetzung einer vorausschauenden Instandhaltung. In <i>Fachtagung Mechatronik 2019 Paderborn</i>.","ama":"Kaul T, Hentze J, Sextro W, Gräßler I. Integration von Verlässlichkeitsmodellen der Entwicklung in einen Digitalen Zwilling zur Umsetzung einer vorausschauenden Instandhaltung. In: <i>Fachtagung Mechatronik 2019 Paderborn</i>. ; 2019.","chicago":"Kaul, Thorben, Julian Hentze, Walter Sextro, and Iris Gräßler. “Integration von Verlässlichkeitsmodellen Der Entwicklung in Einen Digitalen Zwilling Zur Umsetzung Einer Vorausschauenden Instandhaltung.” In <i>Fachtagung Mechatronik 2019 Paderborn</i>, 2019.","ieee":"T. Kaul, J. Hentze, W. Sextro, and I. Gräßler, “Integration von Verlässlichkeitsmodellen der Entwicklung in einen Digitalen Zwilling zur Umsetzung einer vorausschauenden Instandhaltung,” in <i>Fachtagung Mechatronik 2019 Paderborn</i>, 2019."}}]