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Prognostics and Health Management of Electronics
Abstract
There has been a growing interest in monitoring the ongoing of products and systems in order to predict failures and provide warning to avoid catastrophic failure. Here, health is defined as the extent of degradation or deviation from an expected normal condition. While the application of health monitoring, also referred to as prognostics, is well established for assessment of mechanical systems, this is not the case for electronic systems. However, electronic systems are integral to the functionality of most systems today, and their reliability is often critical for system reliability. This paper presents the state-of-practice and the current state-of-research in the area of electronics prognostics and health management. Four current approaches include built-in-test (BIT), use of fuses and canary devices, monitoring and reasoning of failure precursors, and modeling accumulated damage based on measured life-cycle loads. Examples are provided for these different approaches, and the implementation challenges are discussed.
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Cited by
Remaining useful life estimation – A review on the statistical data driven approaches
Si, X.-S., Wang, W., Hu, C.-H., & Zhou, D.-H. (2011) · European Journal of Operational Research · doi:10.1016/j.ejor.2010.11.018 · Cited by 2,162
He, W., Williard, N., Osterman, M., & Pecht, M. (2011) · Journal of Power Sources · doi:10.1016/j.jpowsour.2011.08.040 · Cited by 1,105
Self-citationTransitioning to Physics-of-Failure as a Reliability Driver in Power Electronics
Wang, H., Liserre, M., Blaabjerg, F., de Place Rimmen, P., Jacobsen, J. B., Kvisgaard, T., & Landkildehus, J. (2014) · IEEE Journal of Emerging and Selected Topics in Power Electronics · doi:10.1109/jestpe.2013.2290282 · Cited by 693
Ageing and Failure Modes of IGBT Modules in High-Temperature Power Cycling
Smet, V., Forest, F., Huselstein, J.-J., Richardeau, F., Khatir, Z., Lefebvre, S., & Berkani, M. (2011) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2011.2114313 · Cited by 620
Wang, D., Miao, Q., & Pecht, M. (2013) · Journal of Power Sources · doi:10.1016/j.jpowsour.2013.03.129 · Cited by 351
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Metadata
- Authors
- Pecht, M. G.
- Venue
- Wiley eBooks
- Publisher
- Wiley
- Published
- 2008-02-25
- OpenAlex
- W2116870707
- Cited by
- 847
- References
- 0
- FWCI
- 74.75
- Type
- book
- Language
- en
- Open access
- closed
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