高压电器2025，Vol.61Issue(6)：92-101,10.DOI:10.13296/j.1001-1609.hva.2025.06.011
基于GE-YOLO算法的输电线路绝缘子多类型缺陷检测研究
Research on Multi-type Defect Detection of Insulator for Transmission Line Based on GE-YOLO Algorithm
摘要
Abstract
Due to such objective limitations as small target size and complex background in aerial images of line in-sulators,traditional detection algorithms and most lightweight networks are difficult to accurately identify target de-fects.In this paper a multi-type defect detection model for insulators based on GE-YOLO is proposed.The algorithm is based on YOLOv8s and combines grouping convolution and multi-scale fusion ideas to design grouping multi scale convolution(GMSC),which is used to improve C2f and enhance the model's feature extraction ability.The efficient multi-scale attention mechanism(EMA)is introduced into the feature fusion network to improve the model's target lo-calization ability.Finally,the loss function is replaced into Wise-IOU to reduce the excessive penalty of geometric factors and improve the performance of model regression.The experimental results show that the computational com-plexity of the optimized network model remains basically unchanged,meeting the edge computing power require-ments.The overall mAP is increased by 5.5%,in which the mAP of damaged insulator is increased by 10.9%.The al-gorithm in this paper can achieve the detection of multiple types of defects of insulators more evenly.关键词
绝缘子/缺陷检测/GMSC结构/注意力机制/Wise-IOUKey words
insulators/defect detection/GMSC structure/attention mechanism/Wise-IOU引用本文复制引用
王强,冯云涛,周超..基于GE-YOLO算法的输电线路绝缘子多类型缺陷检测研究[J].高压电器,2025,61(6):92-101,10.基金项目
国家自然科学基金资助项目(52077120).Project Supported by National Natural Science Foundation of China(52077120). （52077120）
