Application of Fuzzy Logic for Partial Discharge Pattern Recognition

Abstract

Most of insulation failures indicate Partial Discharge (PD) activity prior to the fault. Several cases show PD is the indication of insulation aging and also as a cause of insulation deterioration. Further effect of PD is accelerating the insulation breakdown to occur. Many researches conclude that monitoring is important to be performed. Monitoring PD can avoid the high voltage equipment experience an early aging. The insulation condition monitoring takes an important role in reducing the failure rate of power apparatus. One of the important parts in monitoring PD is knowing the characteristic of PD itself. Detecting PD is necessary to know the value of PD and understand the condition of the equipment. The measurements are made using electrical methods for various types of insulation. For this research, measurement is carried out by the type of gas insulation, which is air insulation. In order to analyze the characteristic of PD, authors use fuzzy logic. Using Fuzzy Logic can find out the state of the equipment and can determine which recommendations must be applied for the equipment.