Table of Content

Open Access iconOpen Access

ARTICLE

Failure Mode and Effects Analysis Based on Z-numbers

by

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.

Keywords


Cite This Article

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



cc 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.
  • 1497

    View

  • 1209

    Download

  • 0

    Like

Share Link