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The work proposes the application of fuzzy set theory (FST) to diagnose thecondition of high voltage bushings. The diagnosis uses dissolved gas analysis(DGA) data from bushings based on IEC60599 and IEEE C57-104 criteria for oilimpregnated paper (OIP) bushings. FST and neural networks are compared in termsof accuracy and computational efficiency. Both FST and NN simulations were ableto diagnose the bushings condition with 10% error. By using fuzzy theory, themaintenance department can classify bushings and know the extent of degradationin the component.

Fuzzy and Multilayer Perceptron for Evaluation of HV Bushings