DocumentCode :
3102631
Title :
Transformer fault diagnosis based on the improved D-S evidence theory
Author :
Hou, Yan-dong ; Wang, Xiao-jun ; Wen, Cheng-lin ; Xu, Wei-xing
Author_Institution :
Dept. of Electr. Autom., Shanghai Maritime Univ. Shanghai, Shanghai, China
Volume :
6
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
3413
Lastpage :
3417
Abstract :
To overcome the bad performance of marine transformer fault diagnosis, which induced by the reliability of symptom and the correlation with each other. Based on improved D-S evidence theory, a novel marine transformer fault diagnosis method is proposed in this paper. Firstly, the fault diagnosis model is established based on traditional D-S evidence theory. Secondly, the effective measuring for the reliability of symptom and the correlation with each other is sloved by information entropy and information energy. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.
Keywords :
entropy; fault diagnosis; reliability; transformers; D-S evidence theory; information energy; information entropy; marine transformer fault diagnosis model; reliability; Automation; Cybernetics; Fault diagnosis; Information entropy; Machine learning; Oil insulation; Power system reliability; Power transformer insulation; Power transformers; Uncertainty; Correlation; D-S evidence theory; Fault diagnosis; Information entropy; Reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
Type :
conf
DOI :
10.1109/ICMLC.2009.5212787
Filename :
5212787
Link To Document :
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