A New Geometric Mean FMEA Method Based on Information Quality

被引：47

作者：

Cao, Xinzhu ^{[1
]}

Deng, Yong ^{[2
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu 610054, Sichuan, Peoples R China

[2] Univ Elect Sci & Technol China, Inst Fundamental & Frontier Sci, Chengdu 610054, Sichuan, Peoples R China

来源：

IEEE ACCESS | 2019年 / 7卷

基金：

中国国家自然科学基金;

关键词：

Failure mode and effect analysis (FMEA); risk priority number (RPN); generalized information quality; probability distribution; geometric mean; FUZZY BELIEF STRUCTURE; DECISION-MAKING METHOD; FAILURE MODE; RISK-EVALUATION; DIVERGENCE MEASURE; D NUMBERS; FUSION; SETS; ENTROPY; SYSTEM;

D O I：

10.1109/ACCESS.2019.2928581

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Failure mode and effect analysis (FMEA) is used for risk assessment. The risk priority number (RPN) is the product of the three indicators of severity (S), probability of occurrence (O), and detection (D), which is an important measure to determine the risk priority. A new geometric mean FMEA method based on information quality is presented. First, a fuzzy evaluation distribution form is proposed, which constructs a more flexible and reasonable expression of experts' opinions in decision-making. Second, a geometric mean method to combine several probability distributions based on information quality is proposed to calculate the RPN. Finally, a numerical case study is illustrated to show the efficiency of the proposed method.

引用

页码：95547 / 95554

页数：8

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