Location prediction model of zero value insulator based on PNN

Zero insulators directly reduce the electrical performance of insulator strings, affecting safe and reliable operation transmission lines. The grounding current string contains characteristic information performance. Extracting can realize detection zero value insulator, which is great significance to ensure In this paper, composite used on ultra-high-voltage (UHV) lines studied analyze influence electric field distribution. Furthermore, corresponding characteristics at different locations are extracted. fitting relationship between quantity position analyzed. effective selected as training sample establish prediction model based probabilistic neural network (PNN). research result meaningful for insulators.