Abstract
We present a new approach for the on-line reliability assessment of an electronic system subject to condition monitoring. In this paper, the degradation of the electronic system is driven by a nonlinear Wiener process with a time drift, which is incorporated into the proportional hazards model to describe the hazard rate of the time to failure. Using the discretization of the degradation path and the time axis, closed-form approximations for the reliability quantities are obtained using the transition probability matrix. Unlike the conventional method which is applicable only for a small number of degradation states, the calculation of these quantities can be accomplished with just the basic manipulation of the transition matrix, which is computationally efficient and applicable to real-time conditional reliability calculation for a general number of states. The effectiveness of the proposed approach is demonstrated by a numerical study.
Original language | English |
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Title of host publication | 2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016 |
Publisher | IEEE Signal Processing Society |
Publication date | 12 Aug 2016 |
Article number | 7542817 |
ISBN (Electronic) | 9781509003822 |
DOIs | |
Publication status | Published - 12 Aug 2016 |
Externally published | Yes |
Event | 2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016 - Ottawa, Canada Duration: 20 Jun 2016 → 22 Jun 2016 |
Conference
Conference | 2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016 |
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Country/Territory | Canada |
City | Ottawa |
Period | 20/06/2016 → 22/06/2016 |
Series | 2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016 |
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Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- Nonlinear Wiener process with a time drift
- online reliability assessment
- prognostics and health management
- proportional hazards model
- remaining useful life prediction