A Failure Mode, Effect and Criticality Analysis (FMECA) is a methodology used to define, identify and eliminate known and or potential failures in order to enhance the product's reliability and quality. This paper describes a methodology, based on fuzzy logic, for prioritizing failures in criticality assessment. The failure severity, frequency of occurrence, detection and failure mode itself are represented as members of a fuzzy set, combined by matching them against rules in a rule base, evaluated with min-max inferencing, and then defuzzified to assess the criticality of the failure. A turbocharger rotor-bearing subsystem's fuzzy-logic-based criticality assessment is conducted to demonstrate the method. The comparison of this method and Risk Priority Number (RPN) is presented to show the advantages of the new method.


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    Titel :

    Turbocharger's failure mode criticality analysis using fuzzy logic


    Weitere Titelangaben:

    Fehlermöglichkeits- und -eintrittsanalyse mittels der Fuzzy-Logik bei Turboladern


    Beteiligte:
    Xu, K. (Autor:in) / Zhu, M. (Autor:in) / Luo, M. (Autor:in)


    Erscheinungsdatum :

    2000


    Format / Umfang :

    8 Seiten, 7 Bilder, 4 Tabellen, 6 Quellen



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Turbochargers failure mode criticality analysis using fuzzy logic

    Xu,K. / Zhu,M. / Luo,M. et al. | Kraftfahrwesen | 2000


    Turbocharger's Failure Mode Criticality Analysis Using Fuzzy Logic

    Xu, K. / Zhu, M. / Luo, M. et al. | British Library Conference Proceedings | 2000


    Turbocharger's Failure Mode Criticality Analysis Using Fuzzy Logic

    Xu, Kai / Luo, Maji / Zhu, Meilin | SAE Technical Papers | 2000


    Failure mode, effect and criticality analysis

    Lawson, D.J. | Tema Archiv | 1983