会议专题

INVESTIGATION ON FUZZY DEGREE CRITERION OF THE FAULT DIAGNOSIS IN ELECTRICAL POWER EQUIPMENT

The choice of feature parameter is very important to the fault diagnosis of electrical power equipment . In this paper , the conception of fuzzy degree of two error diagnoses in fault diagnosis and the fuzzy criterion for fault feature parameter evaluation are provided based on fuzzy set theory. Finally, the effectiveness of this criterion is provided by an example. The examples show that the method can obtain better diagnosis results.

Fuzzy degree criterion Electrical power equipment Fault diagnosis

LONG ZHOU XIAO-JUN TONG MIAN-YUN CHEN

Wuhan Polytechnic University, Wuhan 430023, P.R.China Huazhong University of Science and Technology, Wuhan 430074, P.R.China

国际会议

2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

昆明

英文

1302-1304

2008-07-12(万方平台首次上网日期,不代表论文的发表时间)