Bayesian Framework Approach for Prognostic Studies in Electrolytic Capacitor under Thermal Overstress Conditions
Electrolytic capacitors are used in several applications ranging from power supplies for safety critical avionics equipment to power drivers for electro-mechanical actuators. Past experiences show that capacitors tend to degrade and fail faster when subjected to high electrical or thermal stress conditions during operations. This makes them good candidates for prognostics and health management. Model-based prognostics captures system knowledge in the form of physics-based models of components in order to obtain accurate predictions of end of life based on their current state of health and their anticipated future use and operational conditions. The focus of this paper is on deriving first principles degradation models for thermal stress conditions and implementing Bayesian framework for making remaining useful life predictions. Data collected from simultaneous experiments are used to validate the models. Our overall goal is to derive accurate models of capacitor degradation, and use them to remaining useful life in DC-DC converters.
How to Cite
electronics PHM, Capacitors, Physics based models, Capacitance, Accelerated aging
60384-4-1, I. (2007). Fixed capacitors for use in electronic equipment. IEC Standards.
Bengt, A. (1995). Electrolytic capacitors theory and applications. RIFA Electrolytic Capacitors.
Biologic. (2010). Application note 14-zfit and equivalent electrical circuits [Computer software manual].
Celaya, J., Kulkarni, C., Biswas, G., & Goebel, K. (2011a). A model-based prognostics methodology for electrolytic capacitors based on electrical overstress accelerated ag- ing. Proceedings of Annual Conference of the PHM Society, September 25-29, Montreal, Canada.
Celaya, J., Kulkarni, C., Biswas, G., & Goebel, K. (2011b). Towards prognostic of electrolytic capacitors. Ameri- can Institute of Aeronautics and Astronautics, AIAA In- fotech@Aerospace 2011, March 2011, St. Louis, Mis- souri.
Celaya, J. R., Wysocki, P., Vashchenko, V., Saha, S., & Goebel, K. (2010). Accelerated aging system for prognostics of power semiconductor devices. In Ieee au- totestcon, 2010 (p. 1-6). Orlando, FL.
Daigle, M., & Goebel, K. (2011, March). Multiple damage progression paths in model-based prognostics. Proceedings of the 2011 IEEE Aerospace Conference.
Daigle, M., Saha, B., & Goebel, K. (2012, March). A comparison of filter-based approaches for model-based prognostics. In Proceedings of the 2012 IEEE aerospace conference.
Ferrell, B. L. (1999). JSF prognostics and health management. IEEE Aerospace Conference, 471.
Fife, J. (2006, August). Wet electrolytic capacitors (Patent No: 7,099 No. 1). Myrtle Beach, SC: AVX Corporation.
Goodman, D. (2005, March). Practical application of phm/prognostics to cots power converters. Aerospace Conference, 2005 IEEE, 3573-3578.
Julier, S. J., & Uhlmann, J. K. (1997). A new extension of the kalman filter to nonlinear systems. Proceedings of the 11th International Symposium on Aerospace/Defense Sensing, Simulation and Controls, 182 - 193.
Julier, S. J., & Uhlmann, J. K. (2004). Unscented filtering and nonlinear estimation. Proceedings of the IEEE, 92(3), 401 - 422.
Kulkarni, C., Biswas, G., Bharadwaj, R., & Kim, K. (2010, April). Effects of degradation in dc-dc converters on avionics systems: A model based approach. Proceedings of the
Machinery Failure Prevention Technology Conference (MFPT), 8-13.
Kulkarni, C., Biswas, G., Celaya, J., & Goebel, K. (2011). A case study for capacitor prognostics under accelerated degradation. IEEE 2011 Workshop on Accelerated Stress Testing & Reliability (ASTR), September 28-30, San Francisco, CA.
Kulkarni, C., Celaya, J., Biswas, G., & Goebel, K. (2011). Prognostic modeling and experimental techniques for electrolytic capacitor health monitoring. The 8th International Workshop on Structural Health Monitoring 2011 (IWSHM) , September 13-15, Stanford University, Stanford, CA.
Kulkarni, C., Celaya, J., Biswas, G., & Goebel, K. (2012). Prognostic and experimental techniques for electrolytic capacitor health monitoring. The Annual Reliability and Maintainability Symposium (RAMS), January 23- 36, Reno, Nevada.
Lahyani, A., Venet, P., Grellet, G., & Viverge, P. (1998, Nov). Failure prediction of electrolytic capacitors during operation of a switchmode power supply. IEEE Transactions on Power Electronics, 13, 1199-1207.
MIL-C-62F. (2008). General specification for capacitors. Fixed Electrolytic.
Rusdi, M., Moroi, Y., Nakahara, H., & Shibata, O. (2005). Evaporation from water ethylene glycol liquid mixture. Langmuir - American Chemical Society, 21 (16), 7308 - 7310.
Saha, B., & Goebel, K. (2009, September). Modeling li-ion battery capacity depletion in a particle filtering framework. In Proceedings of the annual conference of the prognostics and health management society 2009.
Saxena, A., Celaya, J., Balaban, E., Goebel, K., Saha, B., Saha, S., & Schwabacher, M. (2008). Metrics for evaluating performance of prognostic techniques. In International conference on prognostics and health management 2008.
axena, A., Celaya, J., Saha, B., Saha, S., & Goebel, K.(2009, September). On applying the prognostic performance metrics. In Annual conference of the prognostics and health management society.
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