Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0951-8320(01)00101-6
Title: Fuzzy assessment of FMEA for engine systems
Authors: Xu, K. 
Tang, L.C. 
Xie, M. 
Ho, S.L.
Zhu, M.L.
Keywords: Failure mode and effects analysis
Fuzzy expert assessment
Rule-based
Turbocharger
Issue Date: Jan-2002
Source: Xu, 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
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. © 2002 Elsevier Science Ltd. All rights reserved.
Source Title: Reliability Engineering and System Safety
URI: http://scholarbank.nus.edu.sg/handle/10635/63140
ISSN: 09518320
DOI: 10.1016/S0951-8320(01)00101-6
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

213
checked on Dec 6, 2017

WEB OF SCIENCETM
Citations

156
checked on Nov 21, 2017

Page view(s)

49
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.