首页|New density clustering-based approach for failure mode and effect analysis considering opinion evolution and bounded confidence
New density clustering-based approach for failure mode and effect analysis considering opinion evolution and bounded confidence
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Failure mode and effect analysis(FMEA)is a preven-tative risk evaluation method used to evaluate and eliminate fail-ure modes within a system.However,the traditional FMEA method exhibits many deficiencies that pose challenges in prac-tical applications.To improve the conventional FMEA,many modified FMEA models have been suggested.However,the majority of them inadequately address consensus issues and focus on achieving a complete ranking of failure modes.In this research,we propose a new FMEA approach that integrates a two-stage consensus reaching model and a density peak clus-tering algorithm for the assessment and clustering of failure modes.Firstly,we employ the interval 2-tuple linguistic vari-ables(I2TLVs)to express the uncertain risk evaluations provided by FMEA experts.Then,a two-stage consensus reaching model is adopted to enable FMEA experts to reach a consensus.Next,failure modes are categorized into several risk clusters using a density peak clustering algorithm.Finally,the proposed FMEA is illustrated by a case study of load-bearing guidance devices of subway systems.The results show that the proposed FMEA model can more easily to describe the uncertain risk information of failure modes by using the I2TLVs;the introduction of an endogenous feedback mechanism and an exogenous feedback mechanism can accelerate the process of consensus reaching;and the density peak clustering of failure modes successfully improves the practical applicability of FMEA.
failure mode and effect analysis(FMEA)interval 2-tuple linguistic variable(I2TLV)consensus reachingdensity peak clustering algorithm
WANG Jian、ZHU Jingyi、SHI Hua、LIU Huchen
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School of Management,Shanghai University,Shanghai 200444,China
School of Materials,Shanghai Dianji University,Shanghai 201306,China
School of Economics and Management,Tongji University,Shanghai 200092,China
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维普
