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
fDate :
2/1/2000 12:00:00 AM
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;
Journal_Title :
Dielectrics and Electrical Insulation, IEEE Transactions on
