计算机与现代化Issue(5)：5-10,6.DOI:10.3969/j.issn.1006-2475.2024.05.002
基于改进YOLOX的输电线路故障检测算法
Transmission Line Faults Detection Algorithm Based on YOLOX
摘要
Abstract
Power system is an important foundation of national life,intelligent detection of transmission line faults has great so-cial and economic value.Aiming at the problem of lack of public datasets in transmission line faults detection scenarios,poor per-formance when there are multiple scale targets simultaneously,and difficulty in detecting high IoU bounding boxes,a transmis-sion line faults detection method based on improved YOLOX was proposed.First,a transmission line faults detection dataset was set up through acquisition and simulation;then an adaptive multi-scale feature fusion method was proposed to fully use multi-scale features;finally a new loss was proposed to improve the optimization ability of the network for high IoU bounding boxes and solve sample imbalance problem,which effectively improved the detection accuracy.The experimental results show that in the dataset collected in this paper,the proposed algorithm can still achieve 67.48%mAP50:95 while ensuring real-time performance,outperforming the classical algorithms such as EfficientDet and YOLOV5.关键词
故障检测/YOLOX/自适应多尺度融合/多项式IoU损失Key words
faults detection/YOLOX/adaptive multi-scale fusion/polynomial IoU loss分类
信息技术与安全科学引用本文复制引用
吴恒锋,侯兴松,王华珂..基于改进YOLOX的输电线路故障检测算法[J].计算机与现代化,2024,(5):5-10,6.基金项目
国家自然科学基金资助项目(62272376,61872286) （62272376,61872286）
陕西省重点研发计划项目(2020ZDLGY04-05,S2021-YF-YBSF-0094) （2020ZDLGY04-05,S2021-YF-YBSF-0094）
