Reliability assessment of systems subject to dependent degradation processes and random shocks

Yan-Hui Lin, Yan-Fu Li*, Enrico Zio

*Corresponding author for this work

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    45 Citations (Scopus)

    Abstract

    System failures can be induced either by internal degradation mechanisms or by external causes. In this article, we consider the reliability of systems experiencing both degradation and random shock processes. The dependencies between degradation processes and random shocks and those among the degradation processes are explicitly modeled. The degradation processes of system components are modeled using Multi-State Models (MSMs) and Physics-Based Models (PBMs). The piecewise-deterministic Markov process modeling framework is employed to combine MSMs and PBMs and to incorporate 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 an illustrative case.
    Original languageEnglish
    Pages (from-to)1072-1085
    JournalIIE Transactions (Institute of Industrial Engineers)
    Volume48
    Issue number11
    Online published7 Jun 2016
    DOIs
    Publication statusPublished - 2016

    Research Keywords

    • degradation, random shocks
    • dependency
    • Monte Carlo simulation
    • Multi-state system
    • piecewise-deterministic Markov process
    • residual heat removal system
    • system reliability assessment

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