Multi-state component criticality analysis in multi-state systems

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations

    Abstract

    This paper presents and evaluates composite importance measures (CIM) for multi-state systems with multi-state components (MSMC). From a reliability and system design perspective, importance measures are important tools to evaluate and rank the impact and criticality of individual components within a system. For multi-state systems, previously developed measures sometimes do not meet all user needs.The major focus of the study is to distinguish between two types of importance measures that can be used for evaluating the criticality of components in MSMC with respect to multi-state system reliability. A Monte Carlo (MC) simulation method is used for computing the proposed CIM metrics. Experimental results for different system complexities show that these newCIM can effectively estimate the criticality of components with respect to multi-state system reliability. For relatively complex MSMC, CIM present a computationally efficient and analytically sound approach for measuring component criticality.

    Original languageEnglish
    Title of host publicationAdvances in Safety and Reliability - Proceedings of the European Safety and Reliability Conference, ESREL 2005
    Pages1671-1677
    Number of pages7
    StatePublished - 2005
    Event16th European Safety and Reliability Conference, ESREL 2005 - Tri City, Poland
    Duration: 27 Jun 200530 Jun 2005

    Publication series

    NameAdvances in Safety and Reliability - Proceedings of the European Safety and Reliability Conference, ESREL 2005
    Volume2

    Conference

    Conference16th European Safety and Reliability Conference, ESREL 2005
    Country/TerritoryPoland
    CityTri City
    Period27/06/0530/06/05

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