Fuzzy assessment of FMEA for engine systems

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

doi:10.1016/S0951-8320(01)00101-6

Fuzzy assessment of FMEA for engine systems

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

Research output: Journal article publication › Journal article › Academic research › peer-review

349 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	17-29
Number of pages	13
Journal	Reliability Engineering and System Safety
Volume	75
Issue number	1
DOIs	https://doi.org/10.1016/S0951-8320(01)00101-6
Publication status	Published - 1 Jan 2002
Externally published	Yes

Keywords

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

ASJC Scopus subject areas

Mechanical Engineering
Safety, Risk, Reliability and Quality

More information

10.1016/S0951-8320(01)00101-6

Cite this

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AU - Xu, K.

AU - Tang, L. C.

AU - Xie, M.

AU - Ho, Siu Lau

AU - Zhu, M. L.

PY - 2002/1/1

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N2 - 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.

AB - 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.

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KW - Fuzzy expert assessment

KW - Rule-based

KW - Turbocharger

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EP - 29

JO - Reliability Engineering and System Safety

JF - Reliability Engineering and System Safety

IS - 1

ER -

Fuzzy assessment of FMEA for engine systems

Abstract

Keywords

ASJC Scopus subject areas

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