Failure Mode and Effects Analysis Based on Z-Numbers and the Graded Mean Integration Representation

被引:2
作者
Zhang, Hanhan [1 ]
Xu, Zhihui [2 ]
Qian, Hong [1 ]
Su, Xiaoyan [1 ]
机构
[1] Shanghai Univ Elect Power, Sch Automat Engn, Shanghai 200090, Peoples R China
[2] State Key Lab Nucl Power Safety Monitorig Technol, Shenzhen 518172, Peoples R China
来源
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES | 2023年 / 134卷 / 02期
基金
上海市自然科学基金;
关键词
Safety assessment; FMEA; risk priority number; Z-number; the graded mean integration representation; RISK-EVALUATION;
D O I
10.32604/cmes.2022.021898
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Failure mode and effects analysis (FMEA) is a widely used safety assessment method in many fields. Z-number was previously applied in FMEA since it can take both possibility and reliability of information into consideration. However, the use of fuzzy weighted mean to integrate Z-valuations may have some drawbacks and is not suitable for some situations. In this paper, an improved method is proposed based on Z-numbers and the graded mean integration representation (GMIR) to deal with the uncertain information in FMEA. First, Z-numbers are constructed based on the evaluations of risk factors O, S, D for each failure mode by different experts. Second, weights of the three risk factors and experts are determined. Third, the integration representations of Z-numbers are obtained by a new method based on the GMIR method. Finally, risk priorities of the failure modes are derived considering the weights of experts and risk factors. Two examples and a case study are given to show the use of the proposed method and comparison with other methods. The results show that the proposed method is more reasonable, universal and simple in calculation.
引用
收藏
页码:1005 / 1019
页数:15
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