Synthesized fault diagnosis method based on fuzzy logic and D-S evidence theory

被引：0
|
作者：
Yang, Guang [1 ,2 ]
Wu, Xiaoping [1 ]
机构：
[1] Naval Univ Engn, Dept Informat Secur, Wuhan 430033, Peoples R China
[2] Zhenjiang Watercraft Coll, Dept Watercraft Engn, Zhenjiang 212003, Peoples R China
来源：
ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE | 2007年 / 4682卷
关键词：
fault diagnosis; fuzzy logic; information fusion; D-S evidence theory;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Based on fuzzy logic theory, the information fusion technique at decision-making level is introduced for fault diagnosis system. A comprehensive fault diagnosis method based on fuzzy logic and D-S evidence theory is presented by making use of multi-sensor information fusion technique. In this method, the basic reliability distribution of evidence theory is obtained by using fuzzy membership function, which can significantly improve the accuracy of the fault diagnosis through taking full advantages of redundant and complementary fault information from all sensors. Finally the method is applied for fault diagnosis of ship diesel engine. Diagnostic results indicate that the technique is effective, greatly improving the efficiency of fault diagnosis.
引用
收藏
页码：1024 / 1031
页数：8
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