J. Lee, J. Ni, D. Djurdjanovic, H. Qiu, and H. Liao, Intelligent prognostics tools and e-maintenance, Computers in Industry, vol.57, issue.6, pp.476-489, 2006.
DOI : 10.1016/j.compind.2006.02.014

URL : http://www.sciencedirect.com/science?_ob=ShoppingCartURL&_method=add&_eid=1-s2.0-S0166361506000522&originContentFamily=serial&_origin=article&_ts=1480357466&md5=fb54b9ac8ca52e1d503fb15b5eac4d77

M. G. Pecht, Prognostics and Health Management of Electronics Prognostics and Health Management of Electronics, pp.1-315, 2008.

E. Zio, Prognostics and Health Management of Industrial Equipment, Diagnostics and Prognostics of Engineering Systems: Methods and Techniques, pp.333-56, 2012.
DOI : 10.4018/978-1-4666-2095-7.ch017

URL : https://hal.archives-ouvertes.fr/hal-00778377

P. Baraldi, M. Compare, A. Despujols, and E. Zio, Modelling the effects of maintenance on the degradation of a water-feeding turbo-pump of a nuclear power plant, Proceedings of the Institution of Mechanical Engineers, pp.169-183, 2011.
DOI : 10.1243/1748006XJRR336

B. Ji, V. Pickert, W. Cao, and B. Zahawi, In Situ Diagnostics and Prognostics of Wire Bonding Faults in IGBT Modules for Electric Vehicle Drives, IEEE Transactions on Power Electronics, vol.28, issue.12, pp.5568-5577, 2013.
DOI : 10.1109/TPEL.2013.2251358

A. Doucet, On sequential Monte Carlo methods for Bayesian filtering, 1998.

A. Shrivastava, M. H. Azarian, C. Morillo, B. Sood, and M. Pecht, Detection and Reliability Risks of Counterfeit Electrolytic Capacitors, IEEE Transactions on Reliability, vol.63, issue.2, pp.468-479, 2014.
DOI : 10.1109/TR.2014.2315914

J. R. Celaya, C. S. Kulkarni, G. Biswas, and K. 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, vol.3, issue.2, p.2012

E. Wolfgang, Examples for failures in power electronics systems, ECPE Tutorial on Reliability of Power Electronic Systems, 2007.

K. Harada, A. Katsuki, and M. Fujiwara, Use of ESR for deterioration diagnosis of electrolytic capacitor, IEEE Transactions on Power Electronics, vol.8, issue.4, pp.355-361, 1993.
DOI : 10.1109/63.261004

M. L. Gasperi, Life prediction model for aluminum electrolytic capacitors, IAS '96. Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting, pp.1347-1351, 1996.
DOI : 10.1109/IAS.1996.559241

B. Alvsten, Electrolytic capacitors theory and application, 1995.

C. Kulkarni, G. Biswas, X. Koutsoukos, J. Celaya, and K. Goebel, Integrated diagnostic/prognostic experimental setup for capacitor degradation and health monitoring, 2010 IEEE AUTOTESTCON, 2010.
DOI : 10.1109/AUTEST.2010.5613596

A. Lahyani, P. Venet, G. Grellet, and P. J. Viverge, Failure prediction of electrolytic capacitors during operation of a switchmode power supply, IEEE Transactions on Power Electronics, vol.13, issue.6, pp.1199-1207, 1998.
DOI : 10.1109/63.728347

URL : https://hal.archives-ouvertes.fr/hal-00141566

M. L. Gasperi, Life Prediction Modeling of Bus Capacitors in AC Variable-Frequency Drives, IEEE Transactions on Industry Applications, vol.41, issue.6, pp.1430-1435, 2005.
DOI : 10.1109/TIA.2005.858258

K. W. Lee, M. Kim, J. Yoon, S. B. Lee, and J. Y. Yoo, Condition monitoring of DC-link electrolytic capacitors in adjustable-speed drives, IEEE Transactions on Industry Applications, vol.44, issue.5, pp.1606-1613, 2008.

M. Hao and L. Wang, Fault diagnosis and failure prediction of aluminum electrolytic capacitors in power electronic converters, 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005., p.6, 2005.
DOI : 10.1109/IECON.2005.1569014

A. Braham, A. Lahyani, P. Venet, and N. Rejeb, Recent Developments in Fault Detection and Power Loss Estimation of Electrolytic Capacitors, IEEE Transactions on Power Electronics, vol.25, issue.1, pp.33-43, 2010.
DOI : 10.1109/TPEL.2009.2026749

URL : https://hal.archives-ouvertes.fr/hal-00475763

M. A. Vogelsberger, T. Wiesinger, and H. Ertl, Life-Cycle Monitoring and Voltage-Managing Unit for DC-Link Electrolytic Capacitors in PWM Converters, IEEE Transactions on Power Electronics, vol.26, issue.2, pp.493-503, 2011.
DOI : 10.1109/TPEL.2010.2059713

J. R. Celaya, C. Kulkarni, G. Biswas, and . Goebel, Towards Prognostics of Electrolytic Capacitors, Infotech@Aerospace 2011, 2011.
DOI : 10.2514/6.2011-1519

P. Venet, H. Darnand, and G. Grellet, Detection of faults of filter capacitors in a converter. Application to predictive maintenance, Proceedings of Intelec 93: 15th International Telecommunications Energy Conference, pp.74-229, 1993.
DOI : 10.1109/INTLEC.1993.388568

F. Perisse, P. Venet, G. Rojat, and J. M. Rétif, Simple model of an electrolytic capacitor taking into account the temperature and aging time, Electrical Engineering, vol.36, issue.2, pp.89-95, 2006.
DOI : 10.1007/s00202-004-0265-z

URL : https://hal.archives-ouvertes.fr/hal-00140547

K. Abdennadher, P. Venet, G. Rojat, J. M. Rétif, and C. Rosset, A Real-Time Predictive-Maintenance System of Aluminum Electrolytic Capacitors Used in Uninterrupted Power Supplies, IEEE Transactions on Industry Applications, vol.46, issue.4, pp.1644-1652, 2010.
DOI : 10.1109/TIA.2010.2049972

URL : https://hal.archives-ouvertes.fr/hal-00536644

M. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking, IEEE Transactions on Signal Processing, vol.50, issue.2, pp.174-188, 2002.
DOI : 10.1109/78.978374

Y. Hu, P. Baraldi, F. D. Maio, and E. Zio, A particle filtering and kernel smoothing-based approach for new design component prognostics, Reliability Engineering & System Safety, 2014.
DOI : 10.1016/j.ress.2014.10.003

URL : https://hal.archives-ouvertes.fr/hal-01265661

A. Doucet, J. F. De-freitas, and N. J. Gordon, Sequential Monte Carlo methods in practice, 2001.
DOI : 10.1007/978-1-4757-3437-9

P. Lall, R. Lowe, and K. Goebel, Extended Kalman Filter Models and Resistance Spectroscopy for Prognostication and Health Monitoring of Leadfree Electronics Under Vibration, IEEE Transactions on Reliability, vol.61, issue.4, pp.858-871, 2012.
DOI : 10.1109/TR.2012.2220698

A. Doucet, N. J. Gordon, and V. Krishnamurthy, Particle filters for state estimation of jump Markov linear systems, IEEE Transactions on Signal Processing, vol.49, issue.3, pp.613-624, 2001.
DOI : 10.1109/78.905890

W. He, N. Williard, M. Osterman, and M. Pecht, Prognostics of lithium-ion batteries based on Dempster???Shafer theory and the Bayesian Monte Carlo method, Journal of Power Sources, vol.196, issue.23, pp.10314-10321, 2011.
DOI : 10.1016/j.jpowsour.2011.08.040

F. Gustafsson, Particle filter theory and practice with positioning applications, IEEE Aerospace and Electronic Systems Magazine, vol.25, issue.7, pp.53-81, 2010.
DOI : 10.1109/MAES.2010.5546308

F. Cadini, E. Zio, and D. Avram, Monte Carlo-based filtering for fatigue crack growth estimation, Probabilistic Engineering Mechanics, vol.24, issue.3, pp.367-373, 2009.
DOI : 10.1016/j.probengmech.2008.10.002

A. Doucet, S. Godsill, and C. Andrieu, On sequential Monte Carlo sampling methods for Bayesian filtering, Statistics and Computing, vol.10, issue.3, pp.197-208, 2000.
DOI : 10.1023/A:1008935410038

M. E. Orchard and G. J. Vachtsevanos, A particle-filtering approach for on-line fault diagnosis and failure prognosis, Transactions of the Institute of Measurement and Control, vol.31, issue.3-4, pp.31-34, 2009.
DOI : 10.1177/0142331208092026

B. Saha, K. Goebel, S. Poll, and J. Christophersen, Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework, IEEE Transactions on Instrumentation and Measurement, vol.58, issue.2, pp.291-296, 2009.
DOI : 10.1109/TIM.2008.2005965

P. Baraldi, F. Cadini, F. Mangili, and E. Zio, Model-based and data-driven prognostics under different available information, Probabilistic Engineering Mechanics, vol.32, pp.66-79, 2013.
DOI : 10.1016/j.probengmech.2013.01.003

URL : https://hal.archives-ouvertes.fr/hal-00934560

E. Zio and G. Peloni, Particle filtering prognostic estimation of the remaining useful life of nonlinear components, Reliability Engineering & System Safety, vol.96, issue.3, pp.403-412, 2011.
DOI : 10.1016/j.ress.2010.08.009

URL : https://hal.archives-ouvertes.fr/hal-00609502

D. An, J. H. Choi, and N. Kim, Prognostics 101: A tutorial for particle filter-based prognostics algorithm using Matlab, Reliability Engineering & System Safety, vol.115, pp.161-169, 2013.
DOI : 10.1016/j.ress.2013.02.019

S. G. Parler, Improved spice models of aluminum electrolytic capacitors for inverter applications, IEEE Transactions on Industry Applications, vol.39, issue.4, pp.929-935, 2003.
DOI : 10.1109/TIA.2003.814575

H. Ye, R. B. Jackman, and P. Hing, Spectroscopic impedance study of nanocrystalline diamond films, Journal of Applied Physics, vol.94, issue.12, pp.7878-7882, 2003.
DOI : 10.1063/1.1622998

M. Rigamonti, P. Baraldi, E. Zio, D. Astigarraga, and A. Galarza, A Particle Filtering-Based Approach for the Prediction of the Remaining Useful Life of an Aluminum Electrolytic Capacitor, p.2014

A. C. Cameron and F. A. Windmeijer, An R-squared measure of goodness of fit for some common nonlinear regression models, Journal of Econometrics, vol.77, issue.2, pp.329-342, 1997.
DOI : 10.1016/S0304-4076(96)01818-0

F. , D. Maio, K. L. Tsui, and E. Zio, Combining Relevance Vector Machines and exponential regression for bearing residual life estimation, Mechanical Systems and Signal Processing, pp.31-405, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00777681

. Kemet-electronics-corporation, Screw Terminal Aluminum Electrolytic Capacitors ALS30/31 Series, pp.1-14, 2014.

M. Orchard, F. Tobar, and G. Vachtsevanos, Outer feedback correction loops in particle filtering-based prognostic algorithms, Statistical performance comparison, Studies in Informatics and Control, pp.295-304, 2009.

B. E. Olivares, C. Munoz, M. E. Orchard, and J. F. Silva, Particle-Filtering-Based Prognosis Framework for Energy Storage Devices With a Statistical Characterization of State-of-Health Regeneration Phenomena, IEEE Transactions on Instrumentation and Measurement, vol.62, issue.2, pp.364-76, 2013.
DOI : 10.1109/TIM.2012.2215142

P. Baraldi, F. Mangili, and E. Zio, Investigation of uncertainty treatment capability of model-based and data-driven prognostic methods using simulated data, Reliability Engineering & System Safety, vol.112, pp.94-108, 2013.
DOI : 10.1016/j.ress.2012.12.004

URL : https://hal.archives-ouvertes.fr/hal-00934547

D. Astigarraga, F. Arizti, F. M. Ibanez, and A. Galarza, Online indirect measurement of ESR and capacity for PHM of capacitors, 2014 IEEE 15th Workshop on Control and Modeling for Power Electronics (COMPEL), 2014.
DOI : 10.1109/COMPEL.2014.6877185