Fuzzy logic applied to PD pattern classification

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.