Fuzzy assessment of FMEA for engine systems

K. Xu, L. C. Tang, M. Xie, Siu Lau Ho, M. L. Zhu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

349 Citations (Scopus)


When performing failure mode and effects analysis (FMEA) for quality assurance and reliability improvement, interdependencies among various failure modes with uncertain and imprecise information are very difficult to be incorporated for failure analysis. Consequently, the validity of the results may be questionable. This paper presents a fuzzy-logic-based method for FMEA to address this issue. A platform for a fuzzy expert assessment is integrated with the proposed system to overcome the potential difficulty in sharing information among experts from various disciplines. The FMEA of diesel engine's turbocharger system is presented to illustrate the feasibility of such techniques.
Original languageEnglish
Pages (from-to)17-29
Number of pages13
JournalReliability Engineering and System Safety
Issue number1
Publication statusPublished - 1 Jan 2002
Externally publishedYes


  • Failure mode and effects analysis
  • Fuzzy expert assessment
  • Rule-based
  • Turbocharger

ASJC Scopus subject areas

  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality


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