Simulation Research on Transformer Pre-test High Voltage Electrical Insulation Parameters

Abstract This article uses an image processing method to study the hydrophobicity of transformer composite insulators, and then determine surface aging performance insulators. In order meet requirements randomness ambiguity hydrophobic image, this paper a series algorithms process insulator: enhancement based on adaptive histogram equalization, wavelet transform Filtering segmentation grade classification Taking characteristic parameters such as largest water droplet shape factor area ratio input, insulation insulators output, relationship between is established. The simulation results show that can judge into three states: good, normal, bad. Especially when maximum drop accuracy rate reaches 933%.