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