Partial discharge measurement and pattern recognition in gas insulated switchgear

Gas insulated switchgear (GIS) has been widely used as main switching equipment in the power substation, because it has good insulation and high reliability. However, if the switchgear is with defect or beyond the server life, the ability of the insulation may be degradation. Therefore, the detecting technology and fault diagnostic method on GIS has become more and more importance. In this paper, four common defect types of 15 kV switchgears are established, and a commercial inductive sensor measures the current signal caused by the partial discharge (PD) phenomenon. Next transfer this current signal into 3D PD patterns, through these PD patterns we can find the differences characteristic among these testing models. Finally features extract and pattern recognition based on neural network (NN). This detection could determine types of failure and so assist in utility maintenance.