--- _id: '51518' abstract: - lang: eng text: In applications of piezoelectric actuators and sensors, the dependability and particularly the reliability throughout their lifetime are vital to manufacturers and end-users and are enabled through condition-monitoring approaches. Existing approaches often utilize impedance measurements over a range of frequencies or velocity measurements and require additional equipment or sensors, such as a laser Doppler vibrometer. Furthermore, the non-negligible effects of varying operating conditions are often unconsidered. To minimize the need for additional sensors while maintaining the dependability of piezoelectric bending actuators irrespective of varying operating conditions, an online diagnostics approach is proposed. To this end, time- and frequency-domain features are extracted from monitored current signals to reflect hairline crack development in bending actuators. For validation of applicability, the presented analysis method was evaluated on piezoelectric bending actuators subjected to accelerated lifetime tests at varying voltage amplitudes and under external damping conditions. In the presence of a crack and due to a diminished stiffness, the resonance frequency decreases and the root-mean-square amplitude of the current signal simultaneously abruptly drops during the lifetime tests. Furthermore, the piezoelectric crack surfaces clapping is reflected in higher harmonics of the current signal. Thus, time-domain features and harmonics of the current signals are sufficient to diagnose hairline cracks in the actuators. article_number: '521' article_type: original author: - first_name: Osarenren Kennedy full_name: Aimiyekagbon, Osarenren Kennedy id: '9557' last_name: Aimiyekagbon - first_name: Amelie full_name: Bender, Amelie id: '54290' last_name: Bender - first_name: Tobias full_name: Hemsel, Tobias id: '210' last_name: Hemsel - first_name: Walter full_name: Sextro, Walter id: '21220' last_name: Sextro citation: ama: Aimiyekagbon OK, Bender A, Hemsel T, Sextro W. Diagnostics of Piezoelectric Bending Actuators Subjected to Varying Operating Conditions. Electronics. 2024;13(3). doi:10.3390/electronics13030521 apa: Aimiyekagbon, O. K., Bender, A., Hemsel, T., & Sextro, W. (2024). Diagnostics of Piezoelectric Bending Actuators Subjected to Varying Operating Conditions. Electronics, 13(3), Article 521. https://doi.org/10.3390/electronics13030521 bibtex: '@article{Aimiyekagbon_Bender_Hemsel_Sextro_2024, title={Diagnostics of Piezoelectric Bending Actuators Subjected to Varying Operating Conditions}, volume={13}, DOI={10.3390/electronics13030521}, number={3521}, journal={Electronics}, publisher={MDPI AG}, author={Aimiyekagbon, Osarenren Kennedy and Bender, Amelie and Hemsel, Tobias and Sextro, Walter}, year={2024} }' chicago: Aimiyekagbon, Osarenren Kennedy, Amelie Bender, Tobias Hemsel, and Walter Sextro. “Diagnostics of Piezoelectric Bending Actuators Subjected to Varying Operating Conditions.” Electronics 13, no. 3 (2024). https://doi.org/10.3390/electronics13030521. ieee: 'O. K. Aimiyekagbon, A. Bender, T. Hemsel, and W. Sextro, “Diagnostics of Piezoelectric Bending Actuators Subjected to Varying Operating Conditions,” Electronics, vol. 13, no. 3, Art. no. 521, 2024, doi: 10.3390/electronics13030521.' mla: Aimiyekagbon, Osarenren Kennedy, et al. “Diagnostics of Piezoelectric Bending Actuators Subjected to Varying Operating Conditions.” Electronics, vol. 13, no. 3, 521, MDPI AG, 2024, doi:10.3390/electronics13030521. short: O.K. Aimiyekagbon, A. Bender, T. Hemsel, W. Sextro, Electronics 13 (2024). date_created: 2024-02-20T06:46:43Z date_updated: 2024-03-15T16:15:56Z department: - _id: '151' doi: 10.3390/electronics13030521 funded_apc: '1' intvolume: ' 13' issue: '3' keyword: - piezoelectric transducer - self-sensing - fault detection - diagnostics - hairline crack - condition monitoring language: - iso: eng publication: Electronics publication_identifier: issn: - 2079-9292 publication_status: published publisher: MDPI AG quality_controlled: '1' status: public title: Diagnostics of Piezoelectric Bending Actuators Subjected to Varying Operating Conditions type: journal_article user_id: '9557' volume: 13 year: '2024' ... --- _id: '44672' abstract: - lang: eng text: With enhancing digitalization, condition monitoring is used in an increasing number of application fields across various industrial sectors. By its application, increased reliability as well as reduced risks and costs can be achieved. Based on different approaches, technical systems are monitored and measured data is analyzed to enable condition-based or predictive maintenance. To this end, machine learning approaches are usually implemented to diagnose the health states or predict the health index of the monitored system. However, these trained models are often black-box models, not intuitively explainable for a human. To overcome this shortcoming, a model-based approach based on physics is developed for piezoelectric bending actuators. Such a model enables a transparent representation of the system. Moreover, the model-based approach is extended by a parameter-estimation to account for sudden changes in behavior e. g. caused by occurring cracks. article_number: '114399' article_type: original author: - first_name: Amelie full_name: Bender, Amelie id: '54290' last_name: Bender citation: ama: 'Bender A. Model-based condition monitoring of piezoelectric bending actuators. Sensors and Actuators A: Physical. 2023;357. doi:10.1016/j.sna.2023.114399' apa: 'Bender, A. (2023). Model-based condition monitoring of piezoelectric bending actuators. Sensors and Actuators A: Physical, 357, Article 114399. https://doi.org/10.1016/j.sna.2023.114399' bibtex: '@article{Bender_2023, title={Model-based condition monitoring of piezoelectric bending actuators}, volume={357}, DOI={10.1016/j.sna.2023.114399}, number={114399}, journal={Sensors and Actuators A: Physical}, publisher={Elsevier BV}, author={Bender, Amelie}, year={2023} }' chicago: 'Bender, Amelie. “Model-Based Condition Monitoring of Piezoelectric Bending Actuators.” Sensors and Actuators A: Physical 357 (2023). https://doi.org/10.1016/j.sna.2023.114399.' ieee: 'A. Bender, “Model-based condition monitoring of piezoelectric bending actuators,” Sensors and Actuators A: Physical, vol. 357, Art. no. 114399, 2023, doi: 10.1016/j.sna.2023.114399.' mla: 'Bender, Amelie. “Model-Based Condition Monitoring of Piezoelectric Bending Actuators.” Sensors and Actuators A: Physical, vol. 357, 114399, Elsevier BV, 2023, doi:10.1016/j.sna.2023.114399.' short: 'A. Bender, Sensors and Actuators A: Physical 357 (2023).' date_created: 2023-05-09T09:49:44Z date_updated: 2023-05-09T09:53:31Z department: - _id: '151' doi: 10.1016/j.sna.2023.114399 intvolume: ' 357' keyword: - Condition Monitoring - Model-based approach Diagnostics - Varying conditions - Explainability - Piezoelectric bending actuators language: - iso: eng main_file_link: - open_access: '1' url: https://authors.elsevier.com/a/1h2WV3IC9dF7Hm oa: '1' publication: 'Sensors and Actuators A: Physical' publication_identifier: issn: - 0924-4247 publication_status: published publisher: Elsevier BV quality_controlled: '1' status: public title: Model-based condition monitoring of piezoelectric bending actuators type: journal_article user_id: '54290' volume: 357 year: '2023' ... --- _id: '47116' abstract: - lang: eng text: This paper presents a comprehensive study on diagnosing a spacecraft propulsion system utilizing data provided by the Prognostics and Health Management (PHM) society, specifically obtained as part of the Asia-Pacific PHM conference’s data challenge 2023. The objective of the challenge is to identify and diagnose known faults as well as unknown anomalies in the spacecraft’s propulsion system, which is critical for ensuring the spacecraft’s proper functionality and safety. To address this challenge, the proposed method follows a systematic approach of feature extraction, feature selection, and model development. The models employed in this study are kMeans clustering and decision trees combined to ensembles, enriched with expert knowledge. With the method presented, our team was capable of reaching high accuracy in identifying anomalies as well as diagnosing faults, resulting in attaining the seventh place with a score of 93.08 %. author: - first_name: Osarenren Kennedy full_name: Aimiyekagbon, Osarenren Kennedy id: '9557' last_name: Aimiyekagbon - first_name: Alexander full_name: Löwen, Alexander last_name: Löwen - first_name: Amelie full_name: Bender, Amelie id: '54290' last_name: Bender - first_name: Lars full_name: Muth, Lars id: '77313' last_name: Muth orcid: 0000-0002-2938-5616 - first_name: Walter full_name: Sextro, Walter id: '21220' last_name: Sextro citation: ama: 'Aimiyekagbon OK, Löwen A, Bender A, Muth L, Sextro W. Expert-Informed Hierarchical Diagnostics of Multiple Fault Modes of a Spacecraft Propulsion System. In: Proceedings of the Asia Pacific Conference of the PHM Society 2023 . Vol 4. ; 2023. doi:10.36001/phmap.2023.v4i1.3596' apa: Aimiyekagbon, O. K., Löwen, A., Bender, A., Muth, L., & Sextro, W. (2023). Expert-Informed Hierarchical Diagnostics of Multiple Fault Modes of a Spacecraft Propulsion System. Proceedings of the Asia Pacific Conference of the PHM Society 2023 , 4(1). https://doi.org/10.36001/phmap.2023.v4i1.3596 bibtex: '@inproceedings{Aimiyekagbon_Löwen_Bender_Muth_Sextro_2023, title={Expert-Informed Hierarchical Diagnostics of Multiple Fault Modes of a Spacecraft Propulsion System}, volume={4}, DOI={10.36001/phmap.2023.v4i1.3596}, number={1}, booktitle={Proceedings of the Asia Pacific Conference of the PHM Society 2023 }, author={Aimiyekagbon, Osarenren Kennedy and Löwen, Alexander and Bender, Amelie and Muth, Lars and Sextro, Walter}, year={2023} }' chicago: Aimiyekagbon, Osarenren Kennedy, Alexander Löwen, Amelie Bender, Lars Muth, and Walter Sextro. “Expert-Informed Hierarchical Diagnostics of Multiple Fault Modes of a Spacecraft Propulsion System.” In Proceedings of the Asia Pacific Conference of the PHM Society 2023 , Vol. 4, 2023. https://doi.org/10.36001/phmap.2023.v4i1.3596. ieee: 'O. K. Aimiyekagbon, A. Löwen, A. Bender, L. Muth, and W. Sextro, “Expert-Informed Hierarchical Diagnostics of Multiple Fault Modes of a Spacecraft Propulsion System,” in Proceedings of the Asia Pacific Conference of the PHM Society 2023 , 2023, vol. 4, no. 1, doi: 10.36001/phmap.2023.v4i1.3596.' mla: Aimiyekagbon, Osarenren Kennedy, et al. “Expert-Informed Hierarchical Diagnostics of Multiple Fault Modes of a Spacecraft Propulsion System.” Proceedings of the Asia Pacific Conference of the PHM Society 2023 , vol. 4, no. 1, 2023, doi:10.36001/phmap.2023.v4i1.3596. short: 'O.K. Aimiyekagbon, A. Löwen, A. Bender, L. Muth, W. Sextro, in: Proceedings of the Asia Pacific Conference of the PHM Society 2023 , 2023.' date_created: 2023-09-18T07:52:32Z date_updated: 2023-09-21T14:51:27Z department: - _id: '151' doi: 10.36001/phmap.2023.v4i1.3596 intvolume: ' 4' issue: '1' keyword: - PHM - Fault Diagnostics - Multiple Fault Modes - Expert-Informed Diagnostics - Anomaly Detection language: - iso: eng main_file_link: - open_access: '1' url: https://www.papers.phmsociety.org/index.php/phmap/article/view/3596 oa: '1' publication: 'Proceedings of the Asia Pacific Conference of the PHM Society 2023 ' quality_controlled: '1' status: public title: Expert-Informed Hierarchical Diagnostics of Multiple Fault Modes of a Spacecraft Propulsion System type: conference user_id: '77313' volume: 4 year: '2023' ... --- _id: '29727' author: - first_name: Meike Claudia full_name: Wohlleben, Meike Claudia id: '43991' last_name: Wohlleben - first_name: Amelie full_name: Bender, Amelie id: '54290' last_name: Bender - first_name: Sebastian full_name: Peitz, Sebastian id: '47427' last_name: Peitz orcid: 0000-0002-3389-793X - first_name: Walter full_name: Sextro, Walter id: '21220' last_name: Sextro citation: ama: 'Wohlleben MC, Bender A, Peitz S, Sextro W. Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction. In: Machine Learning, Optimization, and Data Science. Springer International Publishing; 2022. doi:10.1007/978-3-030-95470-3_8' apa: Wohlleben, M. C., Bender, A., Peitz, S., & Sextro, W. (2022). Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction. In Machine Learning, Optimization, and Data Science. Springer International Publishing. https://doi.org/10.1007/978-3-030-95470-3_8 bibtex: '@inbook{Wohlleben_Bender_Peitz_Sextro_2022, place={Cham}, title={Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction}, DOI={10.1007/978-3-030-95470-3_8}, 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} }' chicago: 'Wohlleben, Meike Claudia, Amelie Bender, Sebastian Peitz, and Walter Sextro. “Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction.” In Machine Learning, Optimization, and Data Science. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-030-95470-3_8.' ieee: 'M. C. Wohlleben, A. Bender, S. Peitz, and W. Sextro, “Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction,” in Machine Learning, Optimization, and Data Science, Cham: Springer International Publishing, 2022.' mla: Wohlleben, Meike Claudia, et al. “Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction.” Machine Learning, Optimization, and Data Science, Springer International Publishing, 2022, doi:10.1007/978-3-030-95470-3_8. short: 'M.C. Wohlleben, A. Bender, S. Peitz, W. Sextro, in: Machine Learning, Optimization, and Data Science, Springer International Publishing, Cham, 2022.' date_created: 2022-02-03T10:30:23Z date_updated: 2023-04-26T12:10:58Z department: - _id: '151' - _id: '655' doi: 10.1007/978-3-030-95470-3_8 language: - iso: eng main_file_link: - url: https://link.springer.com/content/pdf/10.1007%2F978-3-030-95470-3_8.pdf place: Cham publication: Machine Learning, Optimization, and Data Science publication_identifier: isbn: - '9783030954697' - '9783030954703' issn: - 0302-9743 - 1611-3349 publication_status: published publisher: Springer International Publishing quality_controlled: '1' status: public title: Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction type: book_chapter user_id: '43991' year: '2022' ... --- _id: '47159' author: - first_name: Osarenren Kennedy full_name: Aimiyekagbon, Osarenren Kennedy id: '9557' last_name: Aimiyekagbon - first_name: Amelie full_name: Bender, Amelie id: '54290' last_name: Bender - first_name: Walter full_name: Sextro, Walter id: '21220' last_name: Sextro citation: ama: Aimiyekagbon OK, Bender A, Sextro W. On the applicability of time series features as health indicators for technical systems operating under varying conditions. Condition Monitor. 2022:5-10. apa: Aimiyekagbon, O. K., Bender, A., & Sextro, W. (2022). On the applicability of time series features as health indicators for technical systems operating under varying conditions. Condition Monitor, 425, 5–10. 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} }' 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.” Condition Monitor, 2022. 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,” Condition Monitor, no. 425, pp. 5–10, 2022. mla: Aimiyekagbon, Osarenren Kennedy, et al. “On the Applicability of Time Series Features as Health Indicators for Technical Systems Operating under Varying Conditions.” Condition Monitor, no. 425, 2022, pp. 5–10. short: O.K. Aimiyekagbon, A. Bender, W. Sextro, Condition Monitor (2022) 5–10. date_created: 2023-09-22T09:25:48Z date_updated: 2023-09-22T09:29:51Z department: - _id: '151' issue: '425' language: - iso: eng page: 5 - 10 publication: ' Condition Monitor' publication_date: 2022-08 publication_identifier: issn: - 0268-8050 publication_status: published status: public title: On the applicability of time series features as health indicators for technical systems operating under varying conditions type: newspaper_article user_id: '9557' year: '2022' ... --- _id: '9980' abstract: - lang: eng 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. application_date: 02.02.2017 application_number: 10 2017 000 926.0 author: - first_name: Kai full_name: Reinke, Kai last_name: Reinke - first_name: Amelie full_name: Bender, Amelie id: '54290' last_name: Bender - first_name: Tobias full_name: Meyer, Tobias last_name: Meyer - first_name: Walter full_name: Sextro, Walter id: '21220' last_name: Sextro - first_name: James Kuria full_name: Kimotho, James Kuria last_name: Kimotho 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.' apa: 'Reinke, K., Bender, A., Meyer, T., Sextro, W., & Kimotho, J. K. (2022). 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.' 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} }' 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.' 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.' mla: 'Reinke, Kai, et al. 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.' short: K. Reinke, A. Bender, T. Meyer, W. Sextro, J.K. Kimotho, (2022). date_created: 2019-05-27T09:44:22Z date_updated: 2023-09-28T09:48:38Z ddc: - '620' department: - _id: '151' file: - access_level: closed content_type: application/pdf creator: ekubi date_created: 2022-09-07T05:04:49Z date_updated: 2022-09-07T05:04:49Z file_id: '33276' file_name: DE102017000926B4_1.pdf file_size: 244882 relation: main_file success: 1 file_date_updated: 2022-09-07T05:04:49Z has_accepted_license: '1' ipc: G01M 7/00 (2006.01) ipn: 'DE: 10 2017 000 926 B4 ' page: '1' publication_date: 31.03.2022 status: public 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.' type: patent user_id: '210' year: '2022' ... --- _id: '27652' 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" - lang: eng 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" author: - first_name: Osarenren Kennedy full_name: Aimiyekagbon, Osarenren Kennedy id: '9557' last_name: Aimiyekagbon - first_name: Amelie full_name: Bender, Amelie id: '54290' last_name: Bender - first_name: Walter full_name: Sextro, Walter id: '21220' last_name: Sextro citation: ama: 'Aimiyekagbon OK, Bender A, Sextro W. Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten . In: VDI-Berichte 2391. VDI Verlag GmbH; 2021:197-210.' apa: Aimiyekagbon, O. K., Bender, A., & Sextro, W. (2021). Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten . VDI-Berichte 2391, 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} }' chicago: 'Aimiyekagbon, Osarenren Kennedy, Amelie Bender, and Walter Sextro. “Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten .” In VDI-Berichte 2391, 197–210. Düsseldorf: VDI Verlag GmbH, 2021.' ieee: O. K. Aimiyekagbon, A. Bender, and W. Sextro, “Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten ,” in VDI-Berichte 2391, Würzburg, 2021, pp. 197–210. mla: Aimiyekagbon, Osarenren Kennedy, et al. “Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten .” VDI-Berichte 2391, 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.' conference: end_date: 2021-11-17 location: Würzburg name: '3. VDI-Fachtagung ' start_date: 2021-11-16 date_created: 2021-11-22T07:42:44Z date_updated: 2022-01-06T06:57:43Z department: - _id: '151' keyword: - run-to-failure - rubber-metal element - bearing prognostics - non-stationary operating conditions - varying operating conditions - feature extraction - feature selection language: - iso: ger page: 197 - 210 place: Düsseldorf publication: VDI-Berichte 2391 publication_identifier: isbn: - 978-3-18-092391-8 issn: - '0083-5560 ' publication_status: published publisher: VDI Verlag GmbH status: public title: 'Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten ' type: conference user_id: '9557' year: '2021' ... --- _id: '25046' abstract: - lang: eng text: While increasing digitalization enables multiple advantages for a reliable operation of technical systems, a remaining challenge in the context of condition monitoring is seen in suitable consideration of uncertainties affecting the monitored system. Therefore, a suitable prognostic approach to predict the remaining useful lifetime of complex technical systems is required. To handle different kinds of uncertainties, a novel Multi-Model-Particle Filtering-based prognostic approach is developed and evaluated by the use case of rubber-metal-elements. These elements are maintained preventively due to the strong influence of uncertainties on their behavior. In this paper, two measurement quantities are compared concerning their ability to establish a prediction of the remaining useful lifetime of the monitored elements and the influence of present uncertainties. Based on three performance indices, the results are evaluated. A comparison with predictions of a classical Particle Filter underlines the superiority of the developed Multi-Model-Particle Filter. Finally, the value of the developed method for enabling condition monitoring of technical systems related to uncertainties is given exemplary by a comparison between the preventive and the predictive maintenance strategy for the use case. article_number: '210' article_type: original author: - first_name: Amelie full_name: Bender, Amelie id: '54290' last_name: Bender citation: ama: Bender A. A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions. Machines. 2021;9(10). doi:10.3390/machines9100210 apa: Bender, A. (2021). A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions. Machines, 9(10), Article 210. https://doi.org/10.3390/machines9100210 bibtex: '@article{Bender_2021, title={A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions}, volume={9}, DOI={10.3390/machines9100210}, number={10210}, journal={Machines}, author={Bender, Amelie}, year={2021} }' chicago: Bender, Amelie. “A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions.” Machines 9, no. 10 (2021). https://doi.org/10.3390/machines9100210. ieee: 'A. Bender, “A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions,” Machines, vol. 9, no. 10, Art. no. 210, 2021, doi: 10.3390/machines9100210.' mla: Bender, Amelie. “A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions.” Machines, vol. 9, no. 10, 210, 2021, doi:10.3390/machines9100210. short: A. Bender, Machines 9 (2021). date_created: 2021-09-27T07:07:58Z date_updated: 2022-11-03T11:42:46Z department: - _id: '151' doi: 10.3390/machines9100210 intvolume: ' 9' issue: '10' keyword: - prognostics - RUL predictions - particle filter - uncertainty consideration - Multi-Model-Particle Filter - model-based approach - rubber-metal-elements - predictive maintenance language: - iso: eng main_file_link: - open_access: '1' url: https://www.mdpi.com/2075-1702/9/10/210 oa: '1' publication: Machines publication_identifier: issn: - 2075-1702 publication_status: published quality_controlled: '1' status: public title: A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions type: journal_article user_id: '54290' volume: 9 year: '2021' ... --- _id: '21630' abstract: - lang: ger text: Eine zustandsbasierte Instandhaltungsstrategie reduziert das Risiko eines Ausfalls eines technischen Systems bei gleichzeitig hoher Ausnutzung und planbaren Instandhaltungsmaßnahmen. Das Ziel dieser Arbeit liegt in der Entwicklung einer Zustandsüberwachung für Gummi-Metall-Elemente. Die Herausforderungen dieser Zustandsüberwachung leiten sich aus dem viskoelastischen Verhalten sowie dem komplexen Degradationsverhalten der Elemente ab. Infolge der daraus resultierenden Unsicherheiten werden die Elemente heutzutage präventiv instandgehalten. In Lebensdauerversuchen der Gummi-Metall-Elemente werden drei Messgrößen detektiert. Dabei wird mit der Temperatur eine Messgröße identifiziert, die am geeignetsten zur Beschreibung des Zustands der Elemente ist. Generell wird die Genauigkeit einer Zustandsüberwachung durch verschiedene Unsicherheiten beeinflusst. Für die Prognose der nutzbaren Restlebensdauer der Gummi-Metall-Elemente wird das Partikelfilter, eine verbreitete modellbasierte Methode zur Zustandsüberwachung technischer Systeme, weiterentwickelt, um Unsicherheiten im Verhalten und der Degradation der Elemente zu berücksichtigen. Anhand der Ergebnisse wird belegt, dass aufbauend auf dieser Zustandsüberwachung die Ausnutzung der Gummi-Metall-Elemente in realen Anwendungen durch eine präventive Instandhaltung erhöht werden kann. Damit bildet diese Arbeit die Basis für zukünftige, prädiktive Instandhaltungskonzepte für diese Elemente. Weiterhin bestätigt die Arbeit, dass eine Berücksichtigung vorliegender Unsicherheiten zu einem frühen Zeitpunkt im Entwicklungsprozess des Zustandsüberwachungssystems empfehlenswert ist. - lang: eng text: With condition-based maintenance, the risk of system failure is reduced while maximizing system utilization and ensuring a predictable maintenance schedule. The aim of this thesis is the development of a condition monitoring system of rubber-metal-elements. Due to the viscoelasticity and the complex degradation behavior of the elements, they are currently maintained preventively. During lifetime tests of the rubber-metal-elements, three measurement quantities are acquired. Thereby, temperature is identified as the most suitable measurement quantity to describe the rubber-metal-elements state. The accuracy of a condition monitoring system is generally influenced by various uncertainties. To consider available uncertainties within the behavior and the degradation of the elements, the particle filter, a state-of-the-art model-based method for predicting remaining useful life, is enhanced and employed. The results prove that the developed condition monitoring system enables an increased utilization of rubber-metal-elements in real applications through predictive maintenance. This thesis provides the basis for future concepts of predictive maintenance for rubber-metal-elements. Moreover, it is recommended to take uncertainties into account at an early stage of the development process of condition monitoring systems. author: - first_name: Amelie full_name: Bender, Amelie id: '54290' last_name: Bender citation: ama: Bender A. Zustandsüberwachung zur Prognose der Restlebensdauer von Gummi-Metall-Elementen unter Berücksichtigung systembasierter Unsicherheiten. Shaker; 2021. doi:10.17619/UNIPB/1-1084 apa: Bender, A. (2021). Zustandsüberwachung zur Prognose der Restlebensdauer von Gummi-Metall-Elementen unter Berücksichtigung systembasierter Unsicherheiten. Shaker. https://doi.org/10.17619/UNIPB/1-1084 bibtex: '@book{Bender_2021, title={Zustandsüberwachung zur Prognose der Restlebensdauer von Gummi-Metall-Elementen unter Berücksichtigung systembasierter Unsicherheiten}, DOI={10.17619/UNIPB/1-1084}, publisher={Shaker}, author={Bender, Amelie}, year={2021} }' chicago: Bender, Amelie. Zustandsüberwachung zur Prognose der Restlebensdauer von Gummi-Metall-Elementen unter Berücksichtigung systembasierter Unsicherheiten. Shaker, 2021. https://doi.org/10.17619/UNIPB/1-1084. ieee: A. Bender, Zustandsüberwachung zur Prognose der Restlebensdauer von Gummi-Metall-Elementen unter Berücksichtigung systembasierter Unsicherheiten. Shaker, 2021. mla: Bender, Amelie. Zustandsüberwachung zur Prognose der Restlebensdauer von Gummi-Metall-Elementen unter Berücksichtigung systembasierter Unsicherheiten. Shaker, 2021, doi:10.17619/UNIPB/1-1084. short: A. Bender, Zustandsüberwachung zur Prognose der Restlebensdauer von Gummi-Metall-Elementen unter Berücksichtigung systembasierter Unsicherheiten, Shaker, 2021. date_created: 2021-04-15T10:29:53Z date_updated: 2023-09-15T12:22:50Z department: - _id: '151' doi: 10.17619/UNIPB/1-1084 keyword: - Zustandsüberwachung - Prognose der Restlebensdauer - modellbasierte Prognose - Partikelfilter - Unsicherheiten - Gummi - Verlässlichkeit - Lebensdauerversuche - Predictive Maintenance language: - iso: ger publisher: Shaker status: public supervisor: - first_name: Walter full_name: Sextro, Walter id: '21220' last_name: Sextro - first_name: Stefan full_name: Bracke, Stefan last_name: Bracke title: Zustandsüberwachung zur Prognose der Restlebensdauer von Gummi-Metall-Elementen unter Berücksichtigung systembasierter Unsicherheiten type: dissertation user_id: '210' year: '2021' ... --- _id: '22724' 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." author: - first_name: Amelie full_name: Bender, Amelie id: '54290' last_name: Bender - first_name: Walter full_name: Sextro, Walter id: '21220' last_name: Sextro citation: ama: 'Bender A, Sextro W. Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties. In: Do P, King S, Fink Olga, eds. Proceedings of the European Conference of the PHM Society 2021. Vol 6. ; 2021. doi:https://doi.org/10.36001/phme.2021.v6i1.2843 ' apa: Bender, A., & Sextro, W. (2021). Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties. In P. Do, S. King, & Olga Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021 (Vol. 6, Issue 1). https://doi.org/10.36001/phme.2021.v6i1.2843 bibtex: '@inproceedings{Bender_Sextro_2021, title={Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties}, volume={6}, DOI={https://doi.org/10.36001/phme.2021.v6i1.2843 }, 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} }' chicago: Bender, Amelie, and Walter Sextro. “Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties.” In Proceedings of the European Conference of the PHM Society 2021, edited by Phuc Do, Steve King, and Olga Fink, Vol. 6, 2021. https://doi.org/10.36001/phme.2021.v6i1.2843 . ieee: 'A. Bender and W. Sextro, “Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties,” in Proceedings of the European Conference of the PHM Society 2021, 2021, vol. 6, no. 1, doi: https://doi.org/10.36001/phme.2021.v6i1.2843 .' mla: Bender, Amelie, and Walter Sextro. “Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties.” Proceedings of the European Conference of the PHM Society 2021, edited by Phuc Do et al., vol. 6, no. 1, 2021, doi:https://doi.org/10.36001/phme.2021.v6i1.2843 . short: 'A. Bender, W. Sextro, in: P. Do, S. King, Olga Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021, 2021.' conference: end_date: 2021-07-02 name: 6th European Conference of Prognostics and Health Management start_date: 2021-06-28 date_created: 2021-07-14T06:29:08Z date_updated: 2023-09-22T07:19:48Z department: - _id: '151' doi: 'https://doi.org/10.36001/phme.2021.v6i1.2843 ' editor: - first_name: 'Phuc ' full_name: 'Do, Phuc ' last_name: Do - first_name: Steve full_name: King, Steve last_name: King - first_name: ' Olga' full_name: Fink, Olga last_name: Fink intvolume: ' 6' issue: '1' keyword: - Hybrid prediction method - Multi-model particle filtering - Uncertainty quantification - RUL estimation language: - iso: eng main_file_link: - open_access: '1' url: https://papers.phmsociety.org/index.php/phme/article/view/2843 oa: '1' publication: Proceedings of the European Conference of the PHM Society 2021 publication_identifier: unknown: - 978-1-936263-34-9 publication_status: published quality_controlled: '1' status: public title: Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties type: conference user_id: '54290' volume: 6 year: '2021' ... --- _id: '22507' 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. author: - first_name: Osarenren Kennedy full_name: Aimiyekagbon, Osarenren Kennedy id: '9557' last_name: Aimiyekagbon - first_name: Amelie full_name: Bender, Amelie id: '54290' last_name: Bender - first_name: Walter full_name: Sextro, Walter id: '21220' last_name: Sextro citation: 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: Proceedings of the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021).' apa: Aimiyekagbon, O. K., Bender, A., & Sextro, W. (n.d.). On the applicability of time series features as health indicators for technical systems operating under varying conditions. Proceedings of the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021). Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021). 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} }' 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 Proceedings of the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021), n.d. 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). mla: Aimiyekagbon, Osarenren Kennedy, et al. “On the Applicability of Time Series Features as Health Indicators for Technical Systems Operating under Varying Conditions.” Proceedings of the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021). 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.' conference: end_date: 2021-06-18 name: Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021) start_date: 2021-06-14 date_created: 2021-06-23T05:24:39Z date_updated: 2023-09-22T08:10:34Z ddc: - '620' department: - _id: '151' file: - access_level: open_access content_type: application/pdf creator: kennedy date_created: 2021-06-23T06:43:44Z date_updated: 2021-06-23T06:50:07Z 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_id: '22508' file_name: Aimiyekagbon_et_al_2021_On_the_applicability_of_time_series_features_as_health_indicators_postPrint.pdf file_size: 1875572 relation: main_file title: On the applicability of time series features as health indicators for technical systems operating under varying conditions file_date_updated: 2021-06-23T06:50:07Z has_accepted_license: '1' keyword: - Wind turbine diagnostics - bearing diagnostics - non-stationary operating conditions - varying operating conditions - feature extraction - feature selection - fault detection - failure detection language: - iso: eng oa: '1' publication: Proceedings of the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021) publication_status: inpress quality_controlled: '1' status: public title: On the applicability of time series features as health indicators for technical systems operating under varying conditions type: conference user_id: '9557' year: '2021' ... --- _id: '27111' 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. author: - first_name: Osarenren Kennedy full_name: Aimiyekagbon, Osarenren Kennedy id: '9557' last_name: Aimiyekagbon - first_name: Lars full_name: Muth, Lars id: '77313' last_name: Muth orcid: 0000-0002-2938-5616 - first_name: Meike Claudia full_name: Wohlleben, Meike Claudia id: '43991' last_name: Wohlleben orcid: 0009-0009-9767-7168 - first_name: Amelie full_name: Bender, Amelie id: '54290' last_name: Bender - first_name: Walter full_name: Sextro, Walter id: '21220' last_name: Sextro citation: 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. Proceedings of the European Conference of the PHM Society 2021. Vol 6. ; 2021:527-536. doi:10.36001/phme.2021.v6i1.3042' apa: Aimiyekagbon, O. K., Muth, L., Wohlleben, M. C., Bender, A., & Sextro, W. (2021). Rule-based Diagnostics of a Production Line. In P. Do, S. King, & O. Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021 (Vol. 6, Issue 1, pp. 527–536). https://doi.org/10.36001/phme.2021.v6i1.3042 bibtex: '@inproceedings{Aimiyekagbon_Muth_Wohlleben_Bender_Sextro_2021, title={Rule-based Diagnostics of a Production Line}, volume={6}, DOI={10.36001/phme.2021.v6i1.3042}, 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} }' chicago: Aimiyekagbon, Osarenren Kennedy, Lars Muth, Meike Claudia Wohlleben, Amelie Bender, and Walter Sextro. “Rule-Based Diagnostics of a Production Line.” In Proceedings of the European Conference of the PHM Society 2021, edited by Phuc Do, Steve King, and Olga Fink, 6:527–36, 2021. https://doi.org/10.36001/phme.2021.v6i1.3042. ieee: 'O. K. Aimiyekagbon, L. Muth, M. C. Wohlleben, A. Bender, and W. Sextro, “Rule-based Diagnostics of a Production Line,” in Proceedings of the European Conference of the PHM Society 2021, 2021, vol. 6, no. 1, pp. 527–536, doi: 10.36001/phme.2021.v6i1.3042.' mla: Aimiyekagbon, Osarenren Kennedy, et al. “Rule-Based Diagnostics of a Production Line.” Proceedings of the European Conference of the PHM Society 2021, edited by Phuc Do et al., vol. 6, no. 1, 2021, pp. 527–36, doi:10.36001/phme.2021.v6i1.3042. 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.' conference: name: PHM Society European Conference date_created: 2021-11-03T12:26:39Z date_updated: 2023-09-22T09:13:01Z department: - _id: '151' doi: 10.36001/phme.2021.v6i1.3042 editor: - first_name: Phuc full_name: Do, Phuc last_name: Do - first_name: Steve full_name: King, Steve last_name: King - first_name: Olga full_name: Fink, Olga last_name: Fink intvolume: ' 6' issue: '1' keyword: - PHME 2021 - Feature Selection Classification - Feature Selection Clustering - Interpretable Model - Transparent Model - Industry 4.0 - Real-World Diagnostics - Quality Control - Predictive Maintenance language: - iso: eng main_file_link: - open_access: '1' url: http://papers.phmsociety.org/index.php/phme/article/download/3042/1812 oa: '1' page: 527-536 publication: Proceedings of the European Conference of the PHM Society 2021 publication_status: published quality_controlled: '1' status: public title: Rule-based Diagnostics of a Production Line type: conference user_id: '9557' volume: 6 year: '2021' ... --- _id: '17810' 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. author: - first_name: Osarenren Kennedy full_name: Aimiyekagbon, Osarenren Kennedy id: '9557' last_name: Aimiyekagbon - first_name: Amelie full_name: Bender, Amelie id: '54290' last_name: Bender - first_name: Walter full_name: Sextro, Walter id: '21220' last_name: Sextro citation: 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: PHM Society European Conference. Vol 5. ; 2020.' apa: Aimiyekagbon, O. K., Bender, A., & Sextro, W. (2020). Evaluation of time series forecasting approaches for the reliable crack length prediction of riveted aluminium plates given insufficient data. PHM Society European Conference, 5(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} }' 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 PHM Society European Conference, Vol. 5, 2020. 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 PHM Society European Conference, 2020, vol. 5, no. 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.” PHM Society European Conference, vol. 5, no. 1, 2020. short: 'O.K. Aimiyekagbon, A. Bender, W. Sextro, in: PHM Society European Conference, 2020.' date_created: 2020-08-11T13:32:40Z date_updated: 2023-09-22T09:13:16Z department: - _id: '151' intvolume: ' 5' issue: '1' keyword: - PHM 2019 - crack propagation - forecasting - unevenly spaced time series - step ahead prediction - short time series language: - iso: eng publication: PHM Society European Conference quality_controlled: '1' status: public title: Evaluation of time series forecasting approaches for the reliable crack length prediction of riveted aluminium plates given insufficient data type: conference user_id: '9557' volume: 5 year: '2020' ... --- _id: '9981' 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 application_number: '18154730.8' author: - first_name: Kai full_name: Reinke, Kai last_name: Reinke - first_name: Amelie full_name: Bender, Amelie id: '54290' last_name: Bender - first_name: Tobias full_name: Meyer, Tobias last_name: Meyer - first_name: Walter full_name: Sextro, Walter id: '21220' last_name: Sextro - first_name: James Kuria full_name: Kimotho, James Kuria last_name: Kimotho citation: 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.' apa: 'Reinke, K., Bender, A., Meyer, T., Sextro, W., & Kimotho, J. K. (2020). 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.' 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} }' 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.' 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.' mla: 'Reinke, Kai, et al. 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). date_created: 2019-05-27T09:46:54Z date_updated: 2023-09-28T09:49:19Z ddc: - '620' department: - _id: '151' file: - access_level: closed content_type: application/pdf creator: ekubi date_created: 2022-09-07T05:17:34Z date_updated: 2022-09-07T05:17:34Z file_id: '33277' file_name: EP000003358332B1_1.pdf file_size: 115020 relation: main_file success: 1 file_date_updated: 2022-09-07T05:17:34Z has_accepted_license: '1' ipc: G01M 13/00 ipn: EP 3 358 332 B1 page: '1' publication_date: 15.07.2020 status: public 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.' type: patent user_id: '210' year: '2020' ... --- _id: '10255' 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. author: - first_name: Amelie full_name: Bender, Amelie id: '54290' last_name: Bender - first_name: Kai full_name: Reinke, Kai last_name: Reinke - first_name: Walter full_name: Sextro, Walter id: '21220' last_name: Sextro citation: ama: 'Bender A, Reinke K, Sextro W. Konstruktion und Zustandsüberwachung eines Gummi-Metall-Teils mit integriertem Thermoelement. In: 10. VDI-Fachtagung Schwingungen von Windenergieanlagen 2019. Vol VDI-Berichte 2346. Bremen 2019; 2019:241-248.' apa: Bender, A., Reinke, K., & Sextro, W. (2019). Konstruktion und Zustandsüberwachung eines Gummi-Metall-Teils mit integriertem Thermoelement. In 10. VDI-Fachtagung Schwingungen von Windenergieanlagen 2019 (Vol. VDI-Berichte 2346, pp. 241–248). Bremen 2019. 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} }' chicago: Bender, Amelie, Kai Reinke, and Walter Sextro. “Konstruktion Und Zustandsüberwachung Eines Gummi-Metall-Teils Mit Integriertem Thermoelement.” In 10. VDI-Fachtagung Schwingungen von Windenergieanlagen 2019, VDI-Berichte 2346:241–48. Bremen 2019, 2019. ieee: A. Bender, K. Reinke, and W. Sextro, “Konstruktion und Zustandsüberwachung eines Gummi-Metall-Teils mit integriertem Thermoelement,” in 10. VDI-Fachtagung Schwingungen von Windenergieanlagen 2019, 2019, vol. VDI-Berichte 2346, pp. 241–248. mla: Bender, Amelie, et al. “Konstruktion Und Zustandsüberwachung Eines Gummi-Metall-Teils Mit Integriertem Thermoelement.” 10. VDI-Fachtagung Schwingungen von Windenergieanlagen 2019, vol. VDI-Berichte 2346, 2019, pp. 241–48. short: 'A. Bender, K. Reinke, W. Sextro, in: 10. VDI-Fachtagung Schwingungen von Windenergieanlagen 2019, Bremen 2019, 2019, pp. 241–248.' date_created: 2019-06-17T09:36:23Z date_updated: 2022-01-06T06:50:33Z department: - _id: '151' language: - iso: eng page: 241-248 place: Bremen 2019 publication: 10. VDI-Fachtagung Schwingungen von Windenergieanlagen 2019 status: public title: Konstruktion und Zustandsüberwachung eines Gummi-Metall-Teils mit integriertem Thermoelement type: conference user_id: '55222' volume: VDI-Berichte 2346 year: '2019' ... --- _id: '13460' abstract: - lang: eng text: 'Remaining useful lifetime (RUL) predictions as part of a condition monitoring system are focused in more and more research and industrial applications. To establish an efficient and precise estimate of the RUL of a technical product, different uncertainties have to be handled. To minimize the uncertainties of the RUL estimation, a reliable and accurate prognostic approach as well as a good failure threshold are important. Regarding the failure threshold, most often an expert sets a fixed failure threshold. However, neither the a priori known failure threshold nor a fixedthreshold value are feasible in every application. Especially in the case of varying characteristics of the monitored system, an adaptive failure threshold is of great importance concerning the accuracy of the RUL estimation. Rubber-metal-elements, which are used in a wide range of applications for vibration and sound isolation, are mon-itored by thermocouples to allow for lifetime predictions. Therefore, the element’s state is described by its temper-ature during its service life. Aiming to establish accurate RUL predictions of a rubber-metal-element, uncertainties due to nonlinear material characteristics and changing operational conditions have to be considered. Consequently, different temperature-based failure threshold definitions are implemented and compared within a particle filtering approach. ' author: - first_name: Amelie full_name: Bender, Amelie id: '54290' last_name: Bender - first_name: Lennart full_name: Schinke, Lennart last_name: Schinke - first_name: Walter full_name: Sextro, Walter id: '21220' last_name: Sextro citation: ama: 'Bender A, Schinke L, Sextro W. Remaining useful lifetime prediction based on adaptive failure thresholds. In: Beer M, Zio E, eds. Proceedings of the 29th European Safety and Reliability Conference (ESREL2019). ; 2019:1262-1269.' apa: Bender, A., Schinke, L., & Sextro, W. (2019). Remaining useful lifetime prediction based on adaptive failure thresholds. In M. Beer & E. Zio (Eds.), Proceedings of the 29th European Safety and Reliability Conference (ESREL2019) (Issue 29, pp. 1262–1269). bibtex: '@inproceedings{Bender_Schinke_Sextro_2019, title={Remaining useful lifetime prediction based on adaptive failure thresholds}, number={29}, booktitle={Proceedings of the 29th European Safety and Reliability Conference (ESREL2019)}, author={Bender, Amelie and Schinke, Lennart and Sextro, Walter}, editor={Beer, Michael and Zio, Enrico}, year={2019}, pages={1262–1269} }' chicago: Bender, Amelie, Lennart Schinke, and Walter Sextro. “Remaining Useful Lifetime Prediction Based on Adaptive Failure Thresholds.” In Proceedings of the 29th European Safety and Reliability Conference (ESREL2019), edited by Michael Beer and Enrico Zio, 1262–69, 2019. ieee: A. Bender, L. Schinke, and W. Sextro, “Remaining useful lifetime prediction based on adaptive failure thresholds,” in Proceedings of the 29th European Safety and Reliability Conference (ESREL2019), Hannover, 2019, no. 29, pp. 1262–1269. mla: Bender, Amelie, et al. “Remaining Useful Lifetime Prediction Based on Adaptive Failure Thresholds.” Proceedings of the 29th European Safety and Reliability Conference (ESREL2019), edited by Michael Beer and Enrico Zio, no. 29, 2019, pp. 1262–69. short: 'A. Bender, L. Schinke, W. Sextro, in: M. Beer, E. Zio (Eds.), Proceedings of the 29th European Safety and Reliability Conference (ESREL2019), 2019, pp. 1262–1269.' conference: end_date: 2019.09.26 location: Hannover name: '29th European Safety and Reliability Conference ' start_date: 2019.09.22 date_created: 2019-09-30T08:49:19Z date_updated: 2023-09-22T07:31:53Z department: - _id: '151' editor: - first_name: Michael full_name: Beer, Michael last_name: Beer - first_name: Enrico full_name: Zio, Enrico last_name: Zio issue: '29' keyword: - RUL prediction - adaptive threshold - prognostics - condition monitoring language: - iso: eng main_file_link: - open_access: '1' url: http://rpsonline.com.sg/proceedings/9789811127243/html/0445.xml oa: '1' page: 1262-1269 publication: Proceedings of the 29th European Safety and Reliability Conference (ESREL2019) publication_identifier: isbn: - 978-981-11-2724-3 publication_status: published quality_controlled: '1' status: public title: Remaining useful lifetime prediction based on adaptive failure thresholds type: conference user_id: '54290' year: '2019' ... --- _id: '13461' abstract: - lang: eng text: As the emerging digitalization of technical systems offers immense opportunities to be exploited by means of bigdata analysis, ubiquitous computing and largely networked systems, the digital twin comes into focus to combineall these aspects to an attendant model of an individual system during design phase as well as during operation.Since state-of-art technical systems are growing increasingly complex due to inherent intelligence and increasingfunctionality, i. e. autonomous behavior so far, it becomes considerably challenging to ensure reliability for thosesystems. Many methods were developed to support a reliability focused design or reliability-by-design approachesto tackle this challenge during design process. In field, data-based methods, i. e. condition monitoring enabled bythe rise of machine learning approaches, are exploited to ensure a reliable operation based on the current conditionof the monitored system. In order to take advantage of existing models of system reliability during design phaseand condition monitoring systems during operation, a method is proposed to combine both approaches in order toset up a digital twin with focus on system reliability. The base model of the digital twin is taken from the systemreliability model from the design phase and is used during operation and therein updated to the current reliabilitybased on the state estimation of the condition monitoring system. The approach is illustrated with a case study of arolling bearing test rig. author: - first_name: Thorben full_name: Kaul, Thorben id: '14802' last_name: Kaul - first_name: Amelie full_name: Bender, Amelie id: '54290' last_name: Bender - first_name: Walter full_name: Sextro, Walter id: '21220' last_name: Sextro citation: ama: 'Kaul T, Bender A, Sextro W. Digital Twin for Reliability Analysis During Design and Operation of Mechatronic Systems. In: Beer M, Zio E, eds. Proceedings of the 29th European Safety and Reliability Conference (ESREL2019). ; 2019:2340-2347.' apa: Kaul, T., Bender, A., & Sextro, W. (2019). Digital Twin for Reliability Analysis During Design and Operation of Mechatronic Systems. In M. Beer & E. Zio (Eds.), Proceedings of the 29th European Safety and Reliability Conference (ESREL2019) (Issue 29, pp. 2340–2347). bibtex: '@inproceedings{Kaul_Bender_Sextro_2019, title={Digital Twin for Reliability Analysis During Design and Operation of Mechatronic Systems}, number={29}, booktitle={Proceedings of the 29th European Safety and Reliability Conference (ESREL2019)}, author={Kaul, Thorben and Bender, Amelie and Sextro, Walter}, editor={Beer, Michael and Zio, Enrico}, year={2019}, pages={2340–2347} }' chicago: Kaul, Thorben, Amelie Bender, and Walter Sextro. “Digital Twin for Reliability Analysis During Design and Operation of Mechatronic Systems.” In Proceedings of the 29th European Safety and Reliability Conference (ESREL2019), edited by Michael Beer and Enrico Zio, 2340–47, 2019. ieee: T. Kaul, A. Bender, and W. Sextro, “Digital Twin for Reliability Analysis During Design and Operation of Mechatronic Systems,” in Proceedings of the 29th European Safety and Reliability Conference (ESREL2019), Hannover, 2019, no. 29, pp. 2340–2347. mla: Kaul, Thorben, et al. “Digital Twin for Reliability Analysis During Design and Operation of Mechatronic Systems.” Proceedings of the 29th European Safety and Reliability Conference (ESREL2019), edited by Michael Beer and Enrico Zio, no. 29, 2019, pp. 2340–47. short: 'T. Kaul, A. Bender, W. Sextro, in: M. Beer, E. Zio (Eds.), Proceedings of the 29th European Safety and Reliability Conference (ESREL2019), 2019, pp. 2340–2347.' conference: end_date: 2019.09.26 location: Hannover name: Proceedings of the European Safety and Reliability Conference (ESREL2019) start_date: 2019.09.22 date_created: 2019-09-30T09:16:16Z date_updated: 2023-09-28T08:49:27Z department: - _id: '151' editor: - first_name: Michael full_name: Beer, Michael last_name: Beer - first_name: Enrico full_name: Zio, Enrico last_name: Zio issue: '29' language: - iso: eng main_file_link: - open_access: '1' url: http://rpsonline.com.sg/proceedings/9789811127243/pdf/0876.pdf oa: '1' page: 2340-2347 publication: Proceedings of the 29th European Safety and Reliability Conference (ESREL2019) publication_identifier: isbn: - ' 978-981-11-2724-3' publication_status: published quality_controlled: '1' status: public title: Digital Twin for Reliability Analysis During Design and Operation of Mechatronic Systems type: conference user_id: '210' year: '2019' ... --- _id: '9987' abstract: - lang: eng text: Rubber-metal-elements are used in a wide range of applications for vibration and sound isola- tion. Nowadays it is state of the art to calculate the lifetimes of these elements under mechanical stress prior to their service life. To establish more reliable and safer rubber-metal-elements, continuous monitoring by dif- ferent sensors can be used. Especially prognostics enable a rise in reliability, availability and safety. To estab- lish these advantages, estimating the remaining useful lifetime of rubber-metal-elements should be realized during its service life based on current information on its condition. Therefore a suitable measure to monitor the condition of the element is necessary. This work focuses on temperature signals. This approach allows in- cluding the ambient temperature and thereby involving changing operating conditions. For estimating the RUL of rubber-metal-elements a model-based prognostics approach based on particle filtering is proposed. Its performance is analyzed regarding relevant parameters to enable the best performance for the applied data. author: - first_name: Amelie full_name: Bender, Amelie id: '54290' last_name: Bender - first_name: Walter full_name: Sextro, Walter id: '21220' last_name: Sextro citation: ama: 'Bender A, Sextro W. A particle filtering approach for temperature based prognostics. In: Safety and Reliability – Safe Societies in a Changing World. Trondheim, Norway; 2018:1025-1033.' apa: Bender, A., & Sextro, W. (2018). A particle filtering approach for temperature based prognostics. In Safety and Reliability – Safe Societies in a Changing World (pp. 1025–1033). Trondheim, Norway. bibtex: '@inproceedings{Bender_Sextro_2018, place={Trondheim, Norway}, title={A particle filtering approach for temperature based prognostics}, booktitle={Safety and Reliability – Safe Societies in a Changing World}, author={Bender, Amelie and Sextro, Walter}, year={2018}, pages={1025–1033} }' chicago: Bender, Amelie, and Walter Sextro. “A Particle Filtering Approach for Temperature Based Prognostics.” In Safety and Reliability – Safe Societies in a Changing World, 1025–33. Trondheim, Norway, 2018. ieee: A. Bender and W. Sextro, “A particle filtering approach for temperature based prognostics,” in Safety and Reliability – Safe Societies in a Changing World, 2018, pp. 1025–1033. mla: Bender, Amelie, and Walter Sextro. “A Particle Filtering Approach for Temperature Based Prognostics.” Safety and Reliability – Safe Societies in a Changing World, 2018, pp. 1025–33. short: 'A. Bender, W. Sextro, in: Safety and Reliability – Safe Societies in a Changing World, Trondheim, Norway, 2018, pp. 1025–1033.' date_created: 2019-05-27T09:56:44Z date_updated: 2019-09-30T08:01:18Z department: - _id: '151' language: - iso: eng page: 1025-1033 place: Trondheim, Norway publication: Safety and Reliability – Safe Societies in a Changing World quality_controlled: '1' status: public title: A particle filtering approach for temperature based prognostics type: conference user_id: '55222' year: '2018' ... --- _id: '9969' abstract: - lang: eng text: Zuverlässigkeit, Sicherheit und Verfügbarkeit gewinnen bei der Anwendung von technischen Systemen eine immer größere Bedeutung. Aus diesem Grund hat sich Condition Monitoring, die Zustandsüberwachung eines technischen Produkts, in verschiedenen Industriebranchen etabliert. Die sensorbasierte Überwachung eines Produkts während seiner Betriebsdauer in Kombination mit Condition Monitoring Methoden ermöglichen die Bestimmung des aktuellen Zustands des Produkts und somit eine Diagnose, ob das Produkt seine ihm zugeschriebene Funktion zum aktuellen Zeitpunkt erfüllt. Neben Diagnosen bietet Condition Monitoring auch die Möglichkeit Prognosen aufzustellen, dabei wird die restliche Nutzungsdauer des Produkts aufbauend auf geeigneten Sensordaten geschätzt. So kann eine intelligente Wartungsplanung umgesetzt werden, die im Gegensatz zu klassischen Ansätzen keine festen Wartungsintervalle benötigt und die Nachteile einer rein reaktiven Wartung kompensiert. Stattdessen ist es möglich ein Element bis vor das Ende seiner Lebensdauer zu nutzen und erst dann zu warten, um eine optimale Nutzung zu gewährleisten. Durch eine Bestimmung der verbleibenden Restlebensdauer während des Betriebs ist eine optimale Wartungsplanung möglich, wodurch die Verfügbarkeit und die Auslastung der überwachten Produkte signifikant gesteigert werden kann. In dieser Arbeit soll ein produktspezifisches Condition Monitoring System für Gummi-Metall-Elemente entwickelt werden. Diese Elemente werden zur Federung, Geräusch- und/oder Schwingungsisolation in vielen verschiedenen Anwendungen eingesetzt, wie bspw. in Nutz- und Schienenfahrzeugen oder Windenergieanlagen. In Industrie und Forschung werden bereits Zustandsüberwachungen von Systemen mit integrierten Gummi-Metall-Elementen eingesetzt, allerdings noch keine Condition Monitoring Systeme zur alleinigen Zustandsüberwachung dieser Elemente. Aktuell ist es üblich die Lebensdauer dieser Elemente aufbauend auf beschleunigten Lebensdauerversuchen und Erfahrungswerten abzuschätzen. Mit dem Ziel die Lebensdauer des fokussierten Produkts präziser vorherzusagen und damit eine intelligente Wartungsplanung zu ermöglichen, wird die Entwicklung eines Condition Monitoring Systems für Gummi-Metall-Elemente angestrebt und in dieser Arbeit erläutert. author: - first_name: Amelie full_name: Bender, Amelie id: '54290' last_name: Bender - first_name: Thorben full_name: Kaul, Thorben id: '14802' last_name: Kaul - first_name: Walter full_name: Sextro, Walter id: '21220' last_name: Sextro citation: ama: 'Bender A, Kaul T, Sextro W. Entwicklung eines Condition Monitoring Systems für Gummi-Metall-Elemente. In: Verlagsschriftenreihe Des Heinz Nixdorf Instituts Band 369, Paderborn, 2017. Wissenschaftsforum Intelligente Technische Systeme (WInTeSys) 2017; 2017:347-358.' apa: Bender, A., Kaul, T., & Sextro, W. (2017). Entwicklung eines Condition Monitoring Systems für Gummi-Metall-Elemente. In Verlagsschriftenreihe des Heinz Nixdorf Instituts Band 369, Paderborn, 2017 (pp. 347–358). Wissenschaftsforum Intelligente Technische Systeme (WInTeSys) 2017. bibtex: '@inproceedings{Bender_Kaul_Sextro_2017, place={Wissenschaftsforum Intelligente Technische Systeme (WInTeSys) 2017}, title={Entwicklung eines Condition Monitoring Systems für Gummi-Metall-Elemente}, booktitle={Verlagsschriftenreihe des Heinz Nixdorf Instituts Band 369, Paderborn, 2017}, author={Bender, Amelie and Kaul, Thorben and Sextro, Walter}, year={2017}, pages={347–358} }' chicago: Bender, Amelie, Thorben Kaul, and Walter Sextro. “Entwicklung Eines Condition Monitoring Systems Für Gummi-Metall-Elemente.” In Verlagsschriftenreihe Des Heinz Nixdorf Instituts Band 369, Paderborn, 2017, 347–58. Wissenschaftsforum Intelligente Technische Systeme (WInTeSys) 2017, 2017. ieee: A. Bender, T. Kaul, and W. Sextro, “Entwicklung eines Condition Monitoring Systems für Gummi-Metall-Elemente,” in Verlagsschriftenreihe des Heinz Nixdorf Instituts Band 369, Paderborn, 2017, 2017, pp. 347–358. mla: Bender, Amelie, et al. “Entwicklung Eines Condition Monitoring Systems Für Gummi-Metall-Elemente.” Verlagsschriftenreihe Des Heinz Nixdorf Instituts Band 369, Paderborn, 2017, 2017, pp. 347–58. short: 'A. Bender, T. Kaul, W. Sextro, in: Verlagsschriftenreihe Des Heinz Nixdorf Instituts Band 369, Paderborn, 2017, Wissenschaftsforum Intelligente Technische Systeme (WInTeSys) 2017, 2017, pp. 347–358.' date_created: 2019-05-27T09:25:42Z date_updated: 2019-09-30T08:02:40Z department: - _id: '151' keyword: - Zustandsüberwachung - Condition Monitoring - Prognose - Gummi-Metall-Elemente - Restlebensdauerschätzung language: - iso: eng page: 347-358 place: Wissenschaftsforum Intelligente Technische Systeme (WInTeSys) 2017 publication: Verlagsschriftenreihe des Heinz Nixdorf Instituts Band 369, Paderborn, 2017 quality_controlled: '1' status: public title: Entwicklung eines Condition Monitoring Systems für Gummi-Metall-Elemente type: conference user_id: '55222' year: '2017' ... --- _id: '9970' abstract: - lang: eng text: In vielen verschiedenen Industriezweigen hat sich Condition Monitoring aufgrund seiner finanziellen und sicherheitstechnischen Vorteile bereits etabliert. Um die Verlässlichkeit und die Auslastung zu steigern, sowie um die Lebenszykluskosten zu reduzieren, steigt auch im Schienenfahrzeugbereich die Anzahl an eingesetzten Condition Monitoring Systemen. Studien zu Versagensmodi von Schienenfahrzeugen haben gezeigt, dass Versagensursachen meistens in den Radprofilen oder im Fahrwerk liegen [1]. Wird das Fahrwerk heute mittels Condition Monitoring überwacht, werden hierfür häufig Sensoren an den Wagons angebracht, um bspw. deren Schwingungen zu kontrollieren [2, 3]. In dieser Arbeit liegt der Fokus auf Gummi-Metall-Elementen (GM-Elementen) der Jörn GmbH.; als elastische Lager im Drehgestell sind diese Teil des Fahrwerks eines Schienenfahrzeugs. Mit dem Ziel die Wartungsplanung dieser Elemente zu optimieren, ist untersucht worden, ob diese Elemente einzeln mittels Condition Monitoring überwacht werden können. Die hierfür durchgeführten beschleunigten Lebensdauertests werden im nächsten Abschnitt erläutert. Anschließend werden die modellbasierten Methoden dargestellt, die aufbauend auf den im Versuch aufgezeichneten Daten eine Prognose der nutzbaren Restlebensdauer (RUL, remaining useful lifetime) der GM-Elemente aufstellen. Im letzten Abschnitt folgen eine kurze Zusammenfassung und ein Ausblick. author: - first_name: Amelie full_name: Bender, Amelie id: '54290' last_name: Bender - first_name: James Kuria full_name: Kimotho, James Kuria last_name: Kimotho - first_name: Sergej full_name: Kohl, Sergej last_name: Kohl - first_name: Walter full_name: Sextro, Walter id: '21220' last_name: Sextro - first_name: Kai full_name: Reinke, Kai last_name: Reinke citation: ama: 'Bender A, Kimotho JK, Kohl S, Sextro W, Reinke K. Modellbasierte Prognose der nutzbaren Restlebensdauer von Gummi-Metall-Elementen. In: 15. Internationale Schienenfahrzeugtagung. ; 2017:123-125.' apa: Bender, A., Kimotho, J. K., Kohl, S., Sextro, W., & Reinke, K. (2017). Modellbasierte Prognose der nutzbaren Restlebensdauer von Gummi-Metall-Elementen. In 15. Internationale Schienenfahrzeugtagung (pp. 123–125). bibtex: '@inproceedings{Bender_Kimotho_Kohl_Sextro_Reinke_2017, title={Modellbasierte Prognose der nutzbaren Restlebensdauer von Gummi-Metall-Elementen}, booktitle={15. Internationale Schienenfahrzeugtagung}, author={Bender, Amelie and Kimotho, James Kuria and Kohl, Sergej and Sextro, Walter and Reinke, Kai}, year={2017}, pages={123–125} }' chicago: Bender, Amelie, James Kuria Kimotho, Sergej Kohl, Walter Sextro, and Kai Reinke. “Modellbasierte Prognose Der Nutzbaren Restlebensdauer von Gummi-Metall-Elementen.” In 15. Internationale Schienenfahrzeugtagung, 123–25, 2017. ieee: A. Bender, J. K. Kimotho, S. Kohl, W. Sextro, and K. Reinke, “Modellbasierte Prognose der nutzbaren Restlebensdauer von Gummi-Metall-Elementen,” in 15. Internationale Schienenfahrzeugtagung, 2017, pp. 123–125. mla: Bender, Amelie, et al. “Modellbasierte Prognose Der Nutzbaren Restlebensdauer von Gummi-Metall-Elementen.” 15. Internationale Schienenfahrzeugtagung, 2017, pp. 123–25. short: 'A. Bender, J.K. Kimotho, S. Kohl, W. Sextro, K. Reinke, in: 15. Internationale Schienenfahrzeugtagung, 2017, pp. 123–125.' date_created: 2019-05-27T09:27:19Z date_updated: 2019-05-27T09:29:18Z department: - _id: '151' language: - iso: eng page: 123-125 publication: 15. Internationale Schienenfahrzeugtagung status: public title: Modellbasierte Prognose der nutzbaren Restlebensdauer von Gummi-Metall-Elementen type: conference user_id: '55222' year: '2017' ...