Fuzzy inference system for risk classification on polluted insulator strings of high voltage transmission lines

Partial discharges on high voltage insulator surfaces are directly related with the deposition of pollution over the insulators. A complete partial discharge sensor network was previously developed and has been in operation for approximately one year. This paper presents the initial analysis of one year long experiments. A fuzzy inference system was applied on the results to extract a risk level. The risk level was incremented and decremented according to the partial discharge activity and relative humidity levels. The risk level obtained in this can be used to better plan the schedules for preventive maintenance.