DocumentCode :
3051212
Title :
Fuzzy clustering for diagnosis in electrical insulation
Author :
Komuro, H. ; Iijima, N. ; Sone, M. ; Mitsui, H. ; Terayama, I. ; Kenmochi, Y.
Author_Institution :
Musashi Inst. of Technol., Tokyo, Japan
fYear :
1990
fDate :
28-31 Oct 1990
Firstpage :
349
Lastpage :
354
Abstract :
Fuzzy clustering is applied to the corona pulse test method. The corona degradation of transformers was evaluated using this approach, and the validity of fuzzy clustering theory in this connection is discussed. The development of this approach is then examined, and results are presented
Keywords :
corona; fuzzy set theory; insulation testing; transformer insulation; corona degradation; corona pulse test method; diagnosis; electrical insulation; fuzzy clustering theory; transformers; Corona; Degradation; Dielectrics and electrical insulation; Frequency; Life estimation; Microcomputers; Optical buffering; Pulse measurements; Testing; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Insulation and Dielectric Phenomena, 1990. Annual Report., Conference on
Conference_Location :
Pocono Manor, PA
Type :
conf
DOI :
10.1109/CEIDP.1990.201366
Filename :
201366
Link To Document :
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