Fuzzy Reliability Assessment of Systems with Multiple Dependent Competing Degradation Processes

Abstract : Components are often subject to multiple competing degradation processes. For multi-component systems, the degradation dependency within one component or/and among components need to be considered. Physics-based models (PBMs) and multi-state models (MSMs) are often used for component degradation processes, particularly when statistical data are limited. In this paper, we treat dependencies between degradation processes within a piecewise-deterministic Markov process (PDMP) modeling framework. Epistemic (subjective) uncertainty can arise due to the incomplete or imprecise knowledge about the degradation processes and the governing parameters: to take into account this, we describe the parameters of the PDMP model as fuzzy numbers. Then, we extend the finite-volume (FV) method to quantify the (fuzzy) reliability of the system. The proposed method is tested on one subsystem of the residual heat removal system (RHRS) of a nuclear power plant, and a comparison is offered with a Monte Carlo (MC) simulation solution: the results show that our method can be most efficient.
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Submitted on : Wednesday, December 3, 2014 - 10:22:03 AM
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Yan-Hui Lin, Yan-Fu Li, Enrico Zio. Fuzzy Reliability Assessment of Systems with Multiple Dependent Competing Degradation Processes. IEEE Transactions on Fuzzy Systems, Institute of Electrical and Electronics Engineers, 2015, 23 (5), pp.1428-1438. ⟨10.1109/TFUZZ.2014.2362145⟩. ⟨hal-01090162⟩

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