DocumentCode :
1820368
Title :
Synthetic analysis technique of oil-impregnated insulation
Author :
Dong, M. ; Yan, Z. ; Taniguchi, Yasuhiko
Author_Institution :
Sch. of Electr. Eng., Xi´´an Jiaotong Univ., China
Volume :
1
fYear :
2003
fDate :
1-5 June 2003
Firstpage :
455
Abstract :
Insulation analysis is a comprehensive issue that relates theory and knowledge in many fields, sometimes achieving an accurate conclusion is still a problem yet unsolved. In this paper, a comprehensive analysis scheme based on the fuzzy logic is presented to synthesize more information came from both off-line tests and on-line monitoring, at the same time data mining is also used to find latent knowledge out. To combine various methods in systematically way, the fuzzy reasoning is adopted in this framework to manage the inherent uncertainty in various methods and semantic experiences accumulated by experts. The case studies show that this scheme is efficient and flexible.
Keywords :
impregnated insulation; insulating oils; power transformers; data mining; fuzzy logic; fuzzy reasoning; oil-impregnated insulation; power transformers; Costs; Degradation; Dielectrics and electrical insulation; Fuzzy logic; Information analysis; Insulation testing; Maintenance; Oil insulation; Petroleum; Power system reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Properties and Applications of Dielectric Materials, 2003. Proceedings of the 7th International Conference on
ISSN :
1081-7735
Print_ISBN :
0-7803-7725-7
Type :
conf
DOI :
10.1109/ICPADM.2003.1218449
Filename :
1218449
Link To Document :
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