DocumentCode
476050
Title
Investigation on fuzzy degree criterion of the fault diagnosis in electrical power equipment
Author
Zhou, Long ; Tong, Xiao-jun ; Chen, Mian-yun
Author_Institution
Wuhan Polytech. Univ., Wuhan
Volume
3
fYear
2008
fDate
12-15 July 2008
Firstpage
1302
Lastpage
1304
Abstract
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.
Keywords
fault diagnosis; fuzzy set theory; power apparatus; electrical power equipment; fault diagnosis; fault feature parameter evaluation; fuzzy degree criterion; fuzzy set theory; Cybernetics; Entropy; Fault diagnosis; Fuzzy logic; Fuzzy neural networks; Fuzzy set theory; Information theory; Machine learning; Neural networks; Electrical power equipment; Fault diagnosis; Fuzzy degree criterion;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location
Kunming
Print_ISBN
978-1-4244-2095-7
Electronic_ISBN
978-1-4244-2096-4
Type
conf
DOI
10.1109/ICMLC.2008.4620606
Filename
4620606
Link To Document