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Failure Mode and Effects Analysis Based on Z-numbers

Wen Jiang, Chunhe Xie, Boya Wei, Yongchuan Tang

School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China

* Corresponding Author:Wen Jiang, email

Intelligent Automation & Soft Computing 2018, 24(1), 165-172. https://doi.org/10.1080/10798587.2017.1327158

Abstract

The main objective of this paper is to propose a new method for failure mode and effects analysis (FMEA) based on Z-numbers. In the proposed method, firstly, Z-numbers are used to perform the valuations (Z-valuation) of the risk factors like occurrence (O), severity (S) and detection (D). Secondly, the Z-valuations of the risk factors are integrated by fuzzy weighted mean method. A new risk priority number named as ZRPN is calculated to prioritize failure modes based on a modified method of ranking fuzzy numbers. Finally, a case study for the rotor blades of an aircraft turbine is performed to demonstrate the feasibility of the proposed method.

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Cite This Article

W. Jiang, C. Xie, B. Wei and Y. Tang, "Failure mode and effects analysis based on z-numbers," Intelligent Automation & Soft Computing, vol. 24, no.1, pp. 165–172, 2018.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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