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
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;
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
DOI :
10.1109/CEIDP.2007.4451608
