DocumentCode
2997668
Title
Fault diagnosis for transformer based on fuzzy entropy
Author
Sheng, J.L. ; Zhou, M.S. ; Guo, Z.P. ; Liu, Z.
Author_Institution
Southwest Jiaotong Univ., Chengdu
fYear
2007
fDate
14-17 Oct. 2007
Firstpage
759
Lastpage
762
Abstract
Power transformers are one of the key equipments of the power system, so it is valuable to discover the incipient fault timely and truly. Code deficiency exists in the gas ratio method by the IEC/DEEE standard and fault diagnosis for power transformers. A model based on fuzzy entropy for power transformer faults diagnosis is put forward, which expand coding bound of original IEC three-ratio. At the same time, the method has some contain fault ability in a certain degree. It also shows the probability and disposes lost or false power transformer fault symptoms. That shows the validity of the method for power transformer fault diagnosis by dissolved gas-in-oil analysis.
Keywords
fault diagnosis; fuzzy set theory; power transformers; IEC-DEEE standard; code deficiency; fault diagnosis; fuzzy entropy; fuzzy subsets; gas-in-oil analysis; power system; power transformers; Dissolved gas analysis; Educational institutions; Electric breakdown; Entropy; Fault diagnosis; IEC standards; Oil insulation; Power system modeling; Power transformer insulation; Power transformers; dissolved gas-in-oil analysis; fault diagnosis; fuzzy entropy; power transformer;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Insulation and Dielectric Phenomena, 2007. CEIDP 2007. Annual Report - Conference on
Conference_Location
Vancouver, BC
Print_ISBN
978-1-4244-1482-6
Electronic_ISBN
978-1-4244-1482-6
Type
conf
DOI
10.1109/CEIDP.2007.4451608
Filename
4451608
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