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

In: Recent Advances in Multi-state Systems Reliability

Author

Listed:
  • Yan-Hui Lin

    (Beihang University)

  • Yan-Fu Li

    (Tsinghua University)

  • Enrico Zio

    (Fondation EDF, at Centrale Supelec
    Politecnico di Milano)

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.

Suggested Citation

  • Yan-Hui Lin & Yan-Fu Li & Enrico Zio, 2018. "Reliability Assessment of Systems with Dependent Degradation Processes Based on Piecewise-Deterministic Markov Process," Springer Series in Reliability Engineering, in: Anatoly Lisnianski & Ilia Frenkel & Alex Karagrigoriou (ed.), Recent Advances in Multi-state Systems Reliability, pages 213-225, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-319-63423-4_11
    DOI: 10.1007/978-3-319-63423-4_11
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    Cited by:

    1. Liu, Yu & Liu, Qinzhen & Xie, Chaoyang & Wei, Fayuan, 2019. "Reliability assessment for multi-state systems with state transition dependency," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 276-288.

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