Turbocharger's failure mode criticality analysis using fuzzy logic
Turbocharger's failure mode criticality analysis using fuzzy logic
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.
Document information
Turbocharger's failure mode criticality analysis using fuzzy logic
Fehlermöglichkeits- und -eintrittsanalyse mittels der Fuzzy-Logik bei Turboladern
2000
8 Seiten, 7 Bilder, 4 Tabellen, 6 Quellen
Conference paper
English
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