基于红外图像目标检测与偏斜矫正的变压器套管发热缺陷检测方法OA北大核心CSTPCD

Transformer bushings account for a small proportion in infrared inspection images,and the characteristics of thermal defects are not obvious.Manual detection of thermal defects in bushings is easily affected by subjective judgments,and it is difficult to cope with the massive infrared images generated during inspections.In order to improve the detection efficiency of bushing thermal defects,a detection method for transformer bushing thermal defects combined with target detection algorithm and image skew correction is proposed.Firstly,the YOLOv7 object detection model is used to identify and locate bushing targets.The SimAM atten-tion mechanism and efficient decoupled head are introduced to optimize the model,improving the recognition accuracy and recall rate of bushing targets.Then,image skew correction is performed on the positioned and cropped bushing target,and temperature feature information in the central area is extracted for thermal defect diagnosis.The experimental results show that the improved model has an accuracy rate of 95.50%for bushing target recognition,a recall rate of 97.14%,an average accuracy of 98.30%,and a detection FPS of 42 frames per second.The proposed method can accurately locate bushing targets and extract corresponding temperature curves,effectively improving the efficiency of bushing thermal defect detection.