Algorithm for estimating reliability confidence bounds of multi-state systems

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    31 Scopus citations

    Abstract

    The paper suggests an effective approach for the estimation of reliability confidence bounds based on component reliability and uncertainty data for multi-state systems with binary-capacitated components. The approach presented is based on the implementation of the universal generating function technique. When compared with a pure Monte Carlo simulation approach, the universal generating function (UGF)-based approach is proven to be more effective due to a more precise reliability estimation and a considerably lower computational effort. Examples are given throughout the paper to illustrate the suggested approach.

    Original languageEnglish
    Pages (from-to)1231-1243
    Number of pages13
    JournalReliability Engineering and System Safety
    Volume93
    Issue number8
    DOIs
    StatePublished - Aug 2008

    Keywords

    • Monte Carlo simulation universal generating function
    • Multi-state systems
    • Reliability confidence bounds

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