Infrared Imaging Analysis of Defect Rule of Substation Main Equipment Based on Contour Line and Feature Fusion
In order to deeply analyze the defect evolution law of substation main equipment,an infrared imaging analysis method based on contour line and feature fusion was proposed.Firstly,infrared image of main equipment of transformer is collected by infrared technology.Secondly,Otsu algorithm is used to process the acquired image to achieve image target region and background region segmentation.Thirdly,principal component analysis is used to extract features in the target region,and feature fusion is carried out by hybrid deep learning neural network model to obtain defect detection results.Finally,with RFPA2D software,the evolution rule of defects is analyzed.The simulation results show that this method can effectively analyze the defect law of the main substation equipment,and provide a basis for the defect diagnosis of the substation equipment,which has a very important practical significance for promoting the development of the electric power industry.
万方数据
维普
