Research on Copper Foil Winding of Transformer Surface Defect Detection Based on Machine Vision

Abstract

∗Copper foil winding transformer has been widely used in dry transformers because of its small size, light weight and low material usage. Based on Halcon machine vision software, a defect detection study is carried out on a mass-produced transformer copper foil winding, and through the algorithm design of transformer copper foil winding image pre-processing, edge denoise, feature extraction and surface defect recognition, themachine vision detection process of the copper foil surface defect of transformer is established, the imaging system and hardware platform are set up, multiple sets of copper foil images are collected, and the copper foil detection algorithm is tested, and good results are obtained.