Application of fuzzy inference techniques to FMEA

被引：9
|
作者：
Tay, Kai Meng [1 ]
Lim, Chee Peng [1 ]
机构：
[1] Univ Sci Malaysia, Sch Elect & Elect Engn, Nibong Tebal 14300, Penang, Malaysia
来源：
APPLIED SOFT COMPUTING TECHNOLOGIES: THE CHALLENGE OF COMPLEXITY | 2006年 / 34卷
关键词：
FMEA; fuzzy logic; fuzzy production rules; weighted fuzzy production rules;
D O I：
10.1007/3-540-31662-0_13
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In traditional Failure Mode and Effect Analysis (FMEA), the Risk Priority Number (RPN) ranking system is used to evaluate the risk level of failures, to rank failures, and to prioritize actions. This approach is simple but it suffers from several weaknesses. In an attempt to overcome the weaknesses associated with the traditional RPN ranking system, several fuzzy inference techniques for RPN determination are investigated in this paper. A generic Fuzzy RPN approach is described, and its performance is evaluated using a case study relating to a semiconductor manufacturing process. In addition, enhancements for the fuzzy RPN approach are proposed by refining the weights of the fuzzy production rules.
引用
收藏
页码：161 / 171
页数：11
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