Risk Assessment Analysis of Multiple Failure Modes Using the Fuzzy Rough FMECA Method: A Case of FACDG

Yutao Yan (), Zhongqiang Luo, Zhenyu Liu and Zhibo Liu
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Yutao Yan: School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China
Zhongqiang Luo: School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China
Zhenyu Liu: CRRC Changchun Railway Vehicles Co., Ltd., Changchun 130062, China
Zhibo Liu: CRRC Zhuzhou Locomotive Co., Ltd., Zhuzhou 412001, China

Mathematics, 2023, vol. 11, issue 16, 1-21

Abstract: With the increasing operating mileage and ownership of high-speed electric multiple units (EMU), a reasonable operation and maintenance strategy is the key to ensure their safe and reliable operation. As a key component of recombined EMU, creating a reasonable and effective risk assessment method for the fully automatic coupler draft gear (FACDG) is the first task. Therefore, based on fuzzy rough number theory, combined with the analytic hierarchy process (AHP), entropy weight method (EWM), technique for order performance by similarity to ideal solution (TOPSIS) and grey relational analysis (GRA), a risk priority indicator of comprehensive nearness degree is developed. Furthermore, a novel multi-criteria decision making (MCDM) failure modes, effects and criticality analysis (FMECA) assessment method is proposed. The effectiveness and rationality of the risk assessment method proposed are verified by the analysis of data and failure modes of a certain FACDG at fourth-level engineering maintenance.

Keywords: risk assessment; fuzzy rough number; FMECA; comprehensive nearness degree; FACDG (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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