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Failure Mode and Effects Analysis Based on Z-numbers
School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China
* Corresponding Author:Wen Jiang,
Intelligent Automation & Soft Computing 2018, 24(1), 165-172. https://doi.org/10.1080/10798587.2017.1327158
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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.Keywords
Z-numbers; Failure mode and effects analysis; ZRPN; Z-valuation; Fuzzy weighted mean method; Risk assessment
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APA Style
Jiang, W., Xie, C., Wei, B., Tang, Y. (2018). Failure Mode and Effects Analysis Based on Z-numbers. Intelligent Automation & Soft Computing, 24(1), 165–172. https://doi.org/10.1080/10798587.2017.1327158
Vancouver Style
Jiang W, Xie C, Wei B, Tang Y. Failure Mode and Effects Analysis Based on Z-numbers. Intell Automat Soft Comput. 2018;24(1):165–172. https://doi.org/10.1080/10798587.2017.1327158
IEEE Style
W. Jiang, C. Xie, B. Wei, and Y. Tang, “Failure Mode and Effects Analysis Based on Z-numbers,” Intell. Automat. Soft Comput., vol. 24, no. 1, pp. 165–172, 2018. https://doi.org/10.1080/10798587.2017.1327158
Copyright © 2018 The Author(s). Published by Tech Science Press.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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