DocumentCode
1327071
Title
Fuzzy logic applied to PD pattern classification
Author
Salama, M.M.A. ; Bartnikas, R.
Author_Institution
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
Volume
7
Issue
1
fYear
2000
fDate
2/1/2000 12:00:00 AM
Firstpage
118
Lastpage
123
Abstract
A procedure is described for the application of fuzzy logic systems to the classification of partial discharge pulse patterns in terms of cavity or void size. The features employed in the pattern recognition task are those related to the form or shape of the partial discharge pulses and their associated apparent charge transfer. Preliminary results, obtained with the fuzzy logic system on simple partial discharge sources, indicate a performance approaching that attainable with artificial neural networks
Keywords
fuzzy logic; insulation testing; neural nets; partial discharge measurement; pattern classification; PD pattern classification; apparent charge transfer; artificial neural networks; cavity size; discharge sources; fuzzy logic systems; pulse patterns; void size; Artificial intelligence; Artificial neural networks; Cables; Fuzzy logic; Partial discharges; Pattern classification; Pattern recognition; Pulse shaping methods; Shape; Voltage;
fLanguage
English
Journal_Title
Dielectrics and Electrical Insulation, IEEE Transactions on
Publisher
ieee
ISSN
1070-9878
Type
jour
DOI
10.1109/94.839349
Filename
839349
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