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Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0951-8320(01)00101-6
DC FieldValue
dc.titleFuzzy assessment of FMEA for engine systems
dc.contributor.authorXu, K.
dc.contributor.authorTang, L.C.
dc.contributor.authorXie, M.
dc.contributor.authorHo, S.L.
dc.contributor.authorZhu, M.L.
dc.date.accessioned2014-10-07T10:23:21Z
dc.date.available2014-10-07T10:23:21Z
dc.date.issued2002-01
dc.identifier.citationXu, K., Tang, L.C., Xie, M., Ho, S.L., Zhu, M.L. (2002-01). Fuzzy assessment of FMEA for engine systems. Reliability Engineering and System Safety 75 (1) : 17-29. ScholarBank@NUS Repository. https://doi.org/10.1016/S0951-8320(01)00101-6
dc.identifier.issn09518320
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/87020
dc.description.abstractWhen 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. © 2002 Elsevier Science Ltd. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/S0951-8320(01)00101-6
dc.sourceScopus
dc.subjectFailure mode and effects analysis
dc.subjectFuzzy expert assessment
dc.subjectRule-based
dc.subjectTurbocharger
dc.typeArticle
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.doi10.1016/S0951-8320(01)00101-6
dc.description.sourcetitleReliability Engineering and System Safety
dc.description.volume75
dc.description.issue1
dc.description.page17-29
dc.description.codenRESSE
dc.identifier.isiut000173463200002
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