An improved fault diagnosis model based on fuzzy logic and relative inferiority degree

被引：1

作者：

Wang, Chaochao ^{[1
]}

Lu, Jianfeng ^{[1
]}

Sun, Yuemei ^{[1
]}

机构：

[1] Tongji Univ, Sch Elect & Informat Engn, Shanghai 201804, Peoples R China

来源：

2014 SEVENTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID 2014), VOL 1 | 2014年

关键词：

fault diagnosis; fuzzy logic; relative inferiority degree; membership function;

D O I：

10.1109/ISCID.2014.155

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In order to overcome the imperfection and insufficiency of the conventional fault diagnosis based on fuzzy logic, the concept of relative inferiority degree is introduced to represent the conversion degree from the actual state to failure state. Using the relative inferiority degree as an input to build the membership function of the fuzzy logic, an improved fault diagnosis model based on the fuzzy logic and relative inferiority degree is established. A valid method is presented, and an instance is given to prove this method. It is also implemented by the program, which provides a feasible way for the computer-aided fault diagnosis.

引用

页码：170 / 173

页数：4

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