A New Model for Failure Mode and Effect Analysis Integrating Linguistic Z-Numbers and Projection Method
As a proactive reliability analysis tool, failure mode and effect analysis (FMEA) was widely utilized in various industries to guarantee safety and reliability. Recently, many researchers in this field have emphasized the limitations of this technique, such as in failure mode evaluation, risk factor...
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| Veröffentlicht in: | IEEE transactions on fuzzy systems Jg. 29; H. 3; S. 530 - 538 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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New York
IEEE
01.03.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1063-6706, 1941-0034 |
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| Abstract | As a proactive reliability analysis tool, failure mode and effect analysis (FMEA) was widely utilized in various industries to guarantee safety and reliability. Recently, many researchers in this field have emphasized the limitations of this technique, such as in failure mode evaluation, risk factor weighting, and failure mode prioritization. The objective of this article is to develop a new FMEA model combining linguistic Z-numbers and an extended projection method to enhance the inherent characteristics of FMEA. Specifically, the linguistic Z-numbers are used to express experts' risk assessment information and the reliability of the assessment result. The normal projection method is extended to determine the risk priority of the failure modes considered in FMEA. Moreover, the relative weights of risk factors are derived objectively based on the idea of technique for order preference by similarity to ideal solution (TOPSIS) method. A practical risk evaluation case of aircraft landing system is given for verifying the applicability and effectiveness of the proposed FMEA. The results show that the proposed linguistic Z-number projection model is practical and flexible, which can not only depict experts' complex and uncertain risk evaluation information accurately, but also obtain more accurate risk prioritization of failure modes. |
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| AbstractList | As a proactive reliability analysis tool, failure mode and effect analysis (FMEA) was widely utilized in various industries to guarantee safety and reliability. Recently, many researchers in this field have emphasized the limitations of this technique, such as in failure mode evaluation, risk factor weighting, and failure mode prioritization. The objective of this article is to develop a new FMEA model combining linguistic Z-numbers and an extended projection method to enhance the inherent characteristics of FMEA. Specifically, the linguistic Z-numbers are used to express experts' risk assessment information and the reliability of the assessment result. The normal projection method is extended to determine the risk priority of the failure modes considered in FMEA. Moreover, the relative weights of risk factors are derived objectively based on the idea of technique for order preference by similarity to ideal solution (TOPSIS) method. A practical risk evaluation case of aircraft landing system is given for verifying the applicability and effectiveness of the proposed FMEA. The results show that the proposed linguistic Z-number projection model is practical and flexible, which can not only depict experts' complex and uncertain risk evaluation information accurately, but also obtain more accurate risk prioritization of failure modes. |
| Author | Xu, Dong-Hui Huang, Jia Song, Ming-Shun Liu, Hu-Chen |
| Author_xml | – sequence: 1 givenname: Jia surname: Huang fullname: Huang, Jia email: jiahuangshu@foxmail.com organization: College of Economics and Management, China Jiliang University, Hangzhou, China – sequence: 2 givenname: Dong-Hui surname: Xu fullname: Xu, Dong-Hui email: xudonghui@shu.edu.cn organization: School of Management, Shanghai University, Shanghai, China – sequence: 3 givenname: Hu-Chen orcidid: 0000-0003-4566-2107 surname: Liu fullname: Liu, Hu-Chen email: huchenliu@tongji.edu.cn organization: School of Economics and Management, Tongji University, Shanghai, China – sequence: 4 givenname: Ming-Shun surname: Song fullname: Song, Ming-Shun email: mingshunsong@163.com organization: College of Economics and Management, China Jiliang University, Hangzhou, China |
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| SubjectTerms | Aircraft landing Analytical models Decision making Economics Failure analysis Failure mode and effect analysis (FMEA) Failure modes Landing aids linguistic Z-number Linguistics projection method Projection model Reliability Reliability analysis Risk analysis Risk assessment Risk management technique for order preference by similarity to ideal solution (TOPSIS) method Uncertainty |
| Title | A New Model for Failure Mode and Effect Analysis Integrating Linguistic Z-Numbers and Projection Method |
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