Towards A Model-based Prognostics Methodology for Electrolytic Capacitors: A Case Study Based on Electrical Overstress Accelerated Aging
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Published
Oct 18, 2020
José R. Celaya
Chetan S. Kulkarni
Gautam Biswas
Kai Goebel
Abstract
This paper presents a model-driven methodology for predicting 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 avionics 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 remaining 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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Keywords
PHM
References
Bhatti, U., & Ochieng,W. (2007). Failure modes and models for integrated GPS/INS systems. The Journal of Navigation, 60, 327.
Celaya, J., Kulkarni, C., Biswas, G., & Goebel, K. (2011a, September). A Model-based Prognostics Methodology for Electrolytic Capacitors Based on Electrical Overstress Accelerated Aging. In Proceedings of the Annual Conference of the Prognostics and Health Management Society. Montreal, Canada.
Celaya, J., Kulkarni, C., Biswas, G., & Goebel, K. (2011b, March). Towards Prognostics of Electrolytic Capacitors. In In Proceedings of the AIAA Infotech@ Aerospace Conference. St. Louis, MO.
Celaya, J., Kulkarni, C., Biswas, G., & Goebel, K. (2012, January). Prognostic and Experimental Techniques for Electrolytic Capacitor Health Monitoring. In Proceedings of the The Annual Reliability and Maintainability Symposium (RAMS). Reno, Nevada.
Chatfield, C. (2003). The Analysis of Time Series: An Introduction (6th ed.). Chapman and Hall/CRC.
Goodman, D., Hofmeister, J., & Judkins, J. (2007). Electronic prognostics for switched mode power supplies. Microelectronics Reliability, 47(12), 1902-1906.
Gu, J., Azarian, M. H., & Pecht, M. G. (2008). Failure prognostics of multilayer ceramic capacitors in temperature-humidity-bias conditions. In International Conference on Prognostics and Health Management (p. 1-7). Denver, CO. International Standard IEC 60384-4-1: Fixed capacitors for use in electronic equipment (3rd ed.). (2007). International Electrotechnical Commission (IEC).
Judkins, J. B., Hofmeister, J., & Vohnout, S. (2007). A Prognostic Sensor for Voltage Regulated Switch-Mode Power Supplies. In IEEE Aerospace Conference (p. 1-8).
Kulkarni, C., Biswas, G., Bharadwaj, R., & Kim, K. (2010). Effects of Degradation in DC-DC Converters on Avionics Systems: A Model Based Approach. In Machinery Failure Prevention Technology Conference, MFPT.
Kulkarni, C., Biswas, G., & Koutsoukos, X. (2009). A prognosis case study for electrolytic capacitor degradation in DC-DC converters. In Proceedings of the Annual Conference of the Prognostics and Health Management Soceity. San Diego, CA.
Kulkarni, C., Biswas, G., Koutsoukos, X., Celaya, J., & Goebel, K. (2010). Integrated diagnostic/prognostic experimental setup for capacitor degradation and health monitoring. In IEEE AUTOTESTCON.
Kulkarni, C., Biswas, G., Koutsoukos, X., Goebel, K., & Celaya, J. (2010a). Experimental Studies of Ageing in Electrolytic Capacitors. In Proceedings of the Annual Conference of the Prognostics and Health Management Soceity.
Kulkarni, C., Biswas, G., Koutsoukos, X., Goebel, K., & Celaya, J. (2010b). Physics of Failure Models for Capacitor Degradation in DC-DC Converters. In The Maintenance and Reliability Conference, MARCON.
Kulkarni, C., Celaya, J., Goebel, K., & Biswas, G. (2012a, September). Bayesian Framework Approach for Prognostic Studies in Electrolytic Capacitor under Thermal Overstress Conditions. In Proceedings of Annual Conference of the Prognostics and Health Management Society. Minneapolis, MN.
Kulkarni, C., Celaya, J., Goebel, K., & Biswas, G. (2012b). Physics Based Electrolytic Capacitor Degradation Models for Prognostic Studies under Thermal Overstress. In Proceedings of First European Conference of the Prognostics and Health Management Society. Dresden, Germany.
Kulkarni, C., Celaya, J., Goebel, K., & Biswas, G. (2012c, June). Prognostics Health Management and Physics based failure Models for Electrolytic Capacitors. In Proceedings of American Institute of Aeronautics and Astronautics, AIAA Infotech@Aerospace Conference. Garden Grove, CA.
MIL-C-62F. (2008). General specification for capacitors, fixed, electrolytic (dc. aluminum, dry electrolyte, polarized),. Military Specification. Department of Defense.
Nie, L., Azarian, M. H., Keimasi, M., & Pecht, M. (2007). Prognostics of ceramic capacitor temperaturehumidity- bias reliability using Mahalanobis distance analysis. Circuit World, 33(3), 21 - 28.
Orsagh, R., Brown, D., Roemer, M., Dabnev, T., & Hess, A. (2005). Prognostic health management for avionics system power supplies. In IEEE Aerospace Conference (p. 3585-3591).
Saha, B., Goebel, K., & Christophersen, J. (2009). Comparison of Prognostic Algorithms for Estimating Remaining Useful Life of Batteries. IEEE Transactions of the Institute of Measurement and Control, 31(3-4), 293-308.
Saxena, A., Celaya, J., Saha, B., Saha, S., & Goebel, K. (2010). Metrics for offline evaluation of prognostic performance. International Journal of Prognostics and Health Management, 1-1(1).
Stengel, R. F. (1994). Optimal Control and Estimation. Dover Books on Advanced Mathematics.
Celaya, J., Kulkarni, C., Biswas, G., & Goebel, K. (2011a, September). A Model-based Prognostics Methodology for Electrolytic Capacitors Based on Electrical Overstress Accelerated Aging. In Proceedings of the Annual Conference of the Prognostics and Health Management Society. Montreal, Canada.
Celaya, J., Kulkarni, C., Biswas, G., & Goebel, K. (2011b, March). Towards Prognostics of Electrolytic Capacitors. In In Proceedings of the AIAA Infotech@ Aerospace Conference. St. Louis, MO.
Celaya, J., Kulkarni, C., Biswas, G., & Goebel, K. (2012, January). Prognostic and Experimental Techniques for Electrolytic Capacitor Health Monitoring. In Proceedings of the The Annual Reliability and Maintainability Symposium (RAMS). Reno, Nevada.
Chatfield, C. (2003). The Analysis of Time Series: An Introduction (6th ed.). Chapman and Hall/CRC.
Goodman, D., Hofmeister, J., & Judkins, J. (2007). Electronic prognostics for switched mode power supplies. Microelectronics Reliability, 47(12), 1902-1906.
Gu, J., Azarian, M. H., & Pecht, M. G. (2008). Failure prognostics of multilayer ceramic capacitors in temperature-humidity-bias conditions. In International Conference on Prognostics and Health Management (p. 1-7). Denver, CO. International Standard IEC 60384-4-1: Fixed capacitors for use in electronic equipment (3rd ed.). (2007). International Electrotechnical Commission (IEC).
Judkins, J. B., Hofmeister, J., & Vohnout, S. (2007). A Prognostic Sensor for Voltage Regulated Switch-Mode Power Supplies. In IEEE Aerospace Conference (p. 1-8).
Kulkarni, C., Biswas, G., Bharadwaj, R., & Kim, K. (2010). Effects of Degradation in DC-DC Converters on Avionics Systems: A Model Based Approach. In Machinery Failure Prevention Technology Conference, MFPT.
Kulkarni, C., Biswas, G., & Koutsoukos, X. (2009). A prognosis case study for electrolytic capacitor degradation in DC-DC converters. In Proceedings of the Annual Conference of the Prognostics and Health Management Soceity. San Diego, CA.
Kulkarni, C., Biswas, G., Koutsoukos, X., Celaya, J., & Goebel, K. (2010). Integrated diagnostic/prognostic experimental setup for capacitor degradation and health monitoring. In IEEE AUTOTESTCON.
Kulkarni, C., Biswas, G., Koutsoukos, X., Goebel, K., & Celaya, J. (2010a). Experimental Studies of Ageing in Electrolytic Capacitors. In Proceedings of the Annual Conference of the Prognostics and Health Management Soceity.
Kulkarni, C., Biswas, G., Koutsoukos, X., Goebel, K., & Celaya, J. (2010b). Physics of Failure Models for Capacitor Degradation in DC-DC Converters. In The Maintenance and Reliability Conference, MARCON.
Kulkarni, C., Celaya, J., Goebel, K., & Biswas, G. (2012a, September). Bayesian Framework Approach for Prognostic Studies in Electrolytic Capacitor under Thermal Overstress Conditions. In Proceedings of Annual Conference of the Prognostics and Health Management Society. Minneapolis, MN.
Kulkarni, C., Celaya, J., Goebel, K., & Biswas, G. (2012b). Physics Based Electrolytic Capacitor Degradation Models for Prognostic Studies under Thermal Overstress. In Proceedings of First European Conference of the Prognostics and Health Management Society. Dresden, Germany.
Kulkarni, C., Celaya, J., Goebel, K., & Biswas, G. (2012c, June). Prognostics Health Management and Physics based failure Models for Electrolytic Capacitors. In Proceedings of American Institute of Aeronautics and Astronautics, AIAA Infotech@Aerospace Conference. Garden Grove, CA.
MIL-C-62F. (2008). General specification for capacitors, fixed, electrolytic (dc. aluminum, dry electrolyte, polarized),. Military Specification. Department of Defense.
Nie, L., Azarian, M. H., Keimasi, M., & Pecht, M. (2007). Prognostics of ceramic capacitor temperaturehumidity- bias reliability using Mahalanobis distance analysis. Circuit World, 33(3), 21 - 28.
Orsagh, R., Brown, D., Roemer, M., Dabnev, T., & Hess, A. (2005). Prognostic health management for avionics system power supplies. In IEEE Aerospace Conference (p. 3585-3591).
Saha, B., Goebel, K., & Christophersen, J. (2009). Comparison of Prognostic Algorithms for Estimating Remaining Useful Life of Batteries. IEEE Transactions of the Institute of Measurement and Control, 31(3-4), 293-308.
Saxena, A., Celaya, J., Saha, B., Saha, S., & Goebel, K. (2010). Metrics for offline evaluation of prognostic performance. International Journal of Prognostics and Health Management, 1-1(1).
Stengel, R. F. (1994). Optimal Control and Estimation. Dover Books on Advanced Mathematics.
Section
Technical Papers