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Reliability Assessment of Systems Subject to Dependent Degradation Processes and Random Shocks

Abstract : System failures can be induced by internal degradation mechanisms or by external causes. In this paper, we consider the reliability of systems experiencing both degradation and random shock processes. The dependencies between degradation processes and random shocks, and among degradation processes are explicitly modelled. The degradation processes of system components are modeled by multi-state models (MSMs) and physics-based models (PBMs). The piecewise-deterministic Markov process modeling framework is employed to combine MSMs and PBMs, and for incorporating degradation and random shocks dependencies. The Monte Carlo simulation and finite-volume methods are used to compute the system reliability. A subsystem of a residual heat removal system in a nuclear power plant is considered as illustrative case.
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Submitted on : Tuesday, July 7, 2020 - 2:35:51 PM
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Yan-Hui Lin, Yan-Fu Li, Enrico Zio. Reliability Assessment of Systems Subject to Dependent Degradation Processes and Random Shocks. IIE Transactions, Taylor & Francis, 2016, ⟨10.1080/0740817X.2016.1190481⟩. ⟨hal-01342101⟩

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