Based on YOLO,a transmission line defect detection model is constructed,the transmission line inspection image is initialized and feature extraction is performed.The extracted features are used as model inputs,and the deep isolation forest algorithm is used to predict transmission line defects.Experiments show that this method can improve prediction accuracy and shorten prediction time.
关键词
深度孤立森林/输电线路/缺陷预测/风险值/YOLO
Key words
deep isolated forest/transmission line/defect prediction/risk value/YOLO
维普
万方数据