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Entropy
Volume 21
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10.3390/e21121230
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Article

A Novel Approach to Support Failure Mode, Effects, and Criticality Analysis Based on Complex Networks

by
Lixiang Wang
1,
Wei Dai
1,*,
Guixiu Luo
2 and
Yu Zhao
1
1
School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China
2
Nanjing Chenguang Group Co., Limited, Nanjing 210006, China
*
Author to whom correspondence should be addressed.
Entropy 2019, 21(12), 1230; https://doi.org/10.3390/e21121230
Submission received: 13 November 2019 / Revised: 9 December 2019 / Accepted: 13 December 2019 / Published: 16 December 2019
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Abstract

Failure Mode, Effects and Criticality Analysis (FMECA) is a method which involves quantitative failure analysis. It systematically examines potential failure modes in a system, as well as the components of the system, to determine the impact of a failure. In addition, it is one of the most powerful techniques used for risk assessment and maintenance management. However, various drawbacks are inherent to the classical FMECA method, especially in ranking failure modes. This paper proposes a novel approach that uses complex networks theory to support FMECA. Firstly, the failure modes and their causes and effects are defined as nodes, and according to the logical relationship between failure modes, and their causes and effects, a weighted graph is established. Secondly, we use complex network theory to analyze the weighted graph, and the entropy centrality approach is applied to identify influential nodes. Finally, a real-world case is presented to illustrate and verify the proposed method.
Keywords: complex network; failure mode and effects and criticality analysis (FMECA); entropy centrality; influential nodes complex network; failure mode and effects and criticality analysis (FMECA); entropy centrality; influential nodes

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MDPI and ACS Style

Wang, L.; Dai, W.; Luo, G.; Zhao, Y. A Novel Approach to Support Failure Mode, Effects, and Criticality Analysis Based on Complex Networks. Entropy 2019, 21, 1230. https://doi.org/10.3390/e21121230

AMA Style

Wang L, Dai W, Luo G, Zhao Y. A Novel Approach to Support Failure Mode, Effects, and Criticality Analysis Based on Complex Networks. Entropy. 2019; 21(12):1230. https://doi.org/10.3390/e21121230

Chicago/Turabian Style

Wang, Lixiang, Wei Dai, Guixiu Luo, and Yu Zhao. 2019. "A Novel Approach to Support Failure Mode, Effects, and Criticality Analysis Based on Complex Networks" Entropy 21, no. 12: 1230. https://doi.org/10.3390/e21121230

APA Style

Wang, L., Dai, W., Luo, G., & Zhao, Y. (2019). A Novel Approach to Support Failure Mode, Effects, and Criticality Analysis Based on Complex Networks. Entropy, 21(12), 1230. https://doi.org/10.3390/e21121230

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