Abstract：Overheating defects in power equipment during operation can easily cause electrical faults, posing a serious threat to the safe operation of power equipment. In order to effectively monitor the operation status of power equipment, a method for detecting infrared overheating defects in power equipment based on improved you only look once v7 (YOLOv7) is proposed. YOLOv7 object detection network is used as the basic detection network, and the loss of rectangular boxes is measured by using complete intersection over union (CIoU). At the same time, the spatial pyramid pooling-cross-stage partial channel (SPPCSPC) structure is replaced by the spatial pyramid pooling-fast-cross-stage partial channel (SPPFCSPC) structure of the original network to improve the model, while increasing the receptive field of the model and improving the overheating defects detection performance. The experimental results show that the precision rate of this method based on improved YOLOv7 reaches 90.39%, the recall rate reaches 78.95%, and the average precision value reaches 89.64%, which can provide technical reference for infrared detection of overheating defects in power equipment.
2024, Vol. 25 
