A Modified Model of Failure Mode and Effects Analysis Based on Generalized Evidence Theory

Deyun Zhou · Yongchuan Tang · Jiang Wen

36 citations0/0 files storedMathematical Problems in Engineering

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Multi-Criteria Decision Making Reliability and Maintenance Optimization Risk and Safety Analysis

Abstract

Due to the incomplete knowledge, how to handle the uncertain risk factors in failure mode and effects analysis (FMEA) is still an open issue. This paper proposes a new generalized evidential FMEA (GEFMEA) model to handle the uncertain risk factor, which may not be included in the conventional FMEA model. In GEFMEA, not only the conventional risk factors, the occurrence, severity, and detectability of the failure mode, but also the other incomplete risk factors are taken into consideration. In addition, the relative importance among all these risk factors is well addressed in the proposed method. GEFMEA is based on the generalized evidence theory, which is efficient in handling incomplete information in the open world. The efficiency and some merit of the proposed method are verified by the numerical example and a real case study on aircraft turbine rotor blades.

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References

2000Combining belief functions when evidence conflicts 2012Risk evaluation approaches in failure mode and effects analysis: A literature review 2007Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean 2011Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP 2002Fuzzy assessment of FMEA for engine systems 2014A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method 2008Fuzzy Rule-Based Bayesian Reasoning Approach for Prioritization of Failures in FMEA 2001Modified approach for prioritization of failures in a system failure mode and effects analysis

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2020Deng Entropy Weighted Risk Priority Number Model for Failure Mode and Effects Analysis 2022A novel failure mode and effect analysis method using a flexible knowledge acquisition framework based on picture fuzzy sets

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