Towards A Model-based Prognostics Methodology for Electrolytic Capacitors: A Case Study Based on Electrical Overstress Accelerated Aging
This paper presents a model-driven methodology for predict- ing the remaining useful life of electrolytic capacitors. This methodology adopts a Kalman filter approach in conjunction with an empirical state-based degradation model to predict the degradation of capacitor parameters through the life of...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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The Prognostics and Health Management Society
2012-12-01
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| Series: | International Journal of Prognostics and Health Management |
| Subjects: | |
| Online Access: | https://www.phmsociety.org/node/853 |
| _version_ | 1831560755464372224 |
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| author | Gautam Biswas Chetan Kulkarni Jose R. Celaya Kai Goebel |
| author_facet | Gautam Biswas Chetan Kulkarni Jose R. Celaya Kai Goebel |
| author_sort | Gautam Biswas |
| collection | DOAJ |
| description | This paper presents a model-driven methodology for predict- ing the remaining useful life of electrolytic capacitors. This methodology adopts a Kalman filter approach in conjunction with an empirical state-based degradation model to predict the degradation of capacitor parameters through the life of the capacitor. Electrolytic capacitors are important components of systems that range from power supplies on critical avion- ics equipment to power drivers for electro-mechanical actuators. These devices are known for their comparatively low reliability and given their critical role in the system, they are good candidates for component level prognostics and health management. Prognostics provides a way to assess remain- ing useful life of a capacitor based on its current state of health and its anticipated future usage and operational conditions. This paper proposes and empirical degradation model and discusses experimental results for an accelerated aging test performed on a set of identical capacitors subjected to electrical stress. The data forms the basis for developing the Kalman-filter based remaining life prediction algorithm. |
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| format | Article |
| id | doaj.art-1bf4b32c80d844429674df78650a95b4 |
| institution | Directory Open Access Journal |
| issn | 2153-2648 |
| language | English |
| last_indexed | 2024-12-17T05:51:11Z |
| publishDate | 2012-12-01 |
| publisher | The Prognostics and Health Management Society |
| record_format | Article |
| series | International Journal of Prognostics and Health Management |
| spelling | doaj.art-1bf4b32c80d844429674df78650a95b42022-12-21T22:01:09ZengThe Prognostics and Health Management SocietyInternational Journal of Prognostics and Health Management2153-26482012-12-0132119Towards A Model-based Prognostics Methodology for Electrolytic Capacitors: A Case Study Based on Electrical Overstress Accelerated AgingGautam BiswasChetan KulkarniJose R. CelayaKai GoebelThis paper presents a model-driven methodology for predict- ing the remaining useful life of electrolytic capacitors. This methodology adopts a Kalman filter approach in conjunction with an empirical state-based degradation model to predict the degradation of capacitor parameters through the life of the capacitor. Electrolytic capacitors are important components of systems that range from power supplies on critical avion- ics equipment to power drivers for electro-mechanical actuators. These devices are known for their comparatively low reliability and given their critical role in the system, they are good candidates for component level prognostics and health management. Prognostics provides a way to assess remain- ing useful life of a capacitor based on its current state of health and its anticipated future usage and operational conditions. This paper proposes and empirical degradation model and discusses experimental results for an accelerated aging test performed on a set of identical capacitors subjected to electrical stress. The data forms the basis for developing the Kalman-filter based remaining life prediction algorithm.https://www.phmsociety.org/node/853Component-level PHM Model-based methods for fault detectiondiagnosticsand prognosis PHM for electronics Physics of failure Verification and validation |
| spellingShingle | Gautam Biswas Chetan Kulkarni Jose R. Celaya Kai Goebel Towards A Model-based Prognostics Methodology for Electrolytic Capacitors: A Case Study Based on Electrical Overstress Accelerated Aging International Journal of Prognostics and Health Management Component-level PHM Model-based methods for fault detection diagnostics and prognosis PHM for electronics Physics of failure Verification and validation |
| title | Towards A Model-based Prognostics Methodology for Electrolytic Capacitors: A Case Study Based on Electrical Overstress Accelerated Aging |
| title_full | Towards A Model-based Prognostics Methodology for Electrolytic Capacitors: A Case Study Based on Electrical Overstress Accelerated Aging |
| title_fullStr | Towards A Model-based Prognostics Methodology for Electrolytic Capacitors: A Case Study Based on Electrical Overstress Accelerated Aging |
| title_full_unstemmed | Towards A Model-based Prognostics Methodology for Electrolytic Capacitors: A Case Study Based on Electrical Overstress Accelerated Aging |
| title_short | Towards A Model-based Prognostics Methodology for Electrolytic Capacitors: A Case Study Based on Electrical Overstress Accelerated Aging |
| title_sort | towards a model based prognostics methodology for electrolytic capacitors a case study based on electrical overstress accelerated aging |
| topic | Component-level PHM Model-based methods for fault detection diagnostics and prognosis PHM for electronics Physics of failure Verification and validation |
| url | https://www.phmsociety.org/node/853 |
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