Reliability Assessment of Systems with Dependent Degradation Processes Based on Piecewise-Deterministic Markov Process

Yan-Hui Lin (), Yan-Fu Li () and Enrico Zio ()
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Yan-Hui Lin: Beihang University
Yan-Fu Li: Tsinghua University
Enrico Zio: Fondation EDF, at Centrale Supelec

A chapter in Recent Advances in Multi-state Systems Reliability, 2018, pp 213-225 from Springer

Abstract: Abstract This chapter presents a reliability assessment framework for multi-component systems whose degradation processes are modeled by multi-state and physics-based models. The piecewise-deterministic Markov process modeling approach is employed to treat dependencies between the degradation processes within one component or/and among components. The proposed method can handle the dependencies between physics-based models, between multi-state models and between these two types of models. A Monte Carlo simulation algorithm is designed to compute the systems reliability. A case study on one subsystem of the residual heat removal system of a nuclear power plant is illustrated as exemplification of the proposed modeling framework.

Keywords: Multi-state model; Physics-based model; Dependent degradation processes; Piecewise-deterministic markov process; Monte Carlo simulation method (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-319-63423-4_11

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DOI: 10.1007/978-3-319-63423-4_11

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