Fuzzy logic expert system for assessing the condition of the HV motor stator insulation system

During operation, the electrical insulation system (EIS) of high-voltage motors is exposed to various factors that can accelerate its aging. Timely knowledge actual state EIS great help in allocating funds for service activities. The condition HV motor be assessed some extent by performing available tests. A major shortcoming lack accuracy and well-defined criteria current standards. In way, a potential error bias evaluation recorded results. paper proposes use fuzzy logic expert assessing stators based on results measurements. Also, proposed approach fully discussed. created relies defined IS32-Internal Standard PE EPS.