基于Flexible YOLOv7的输电线路绝缘子缺陷检测和故障预警方法OACSCDCSTPCD
Insulator Defect Detection and Fault Warning Method for Transmission Line Based on Flexible YOLOv7
电力设备的平稳运行是保障居民生产生活的重要前提.输电线路绝缘子缺陷尺寸较小,传统的目标检测算法通常难以识别到缺陷目标,误检、漏检率较高.针对不同材质绝缘子缺陷检测存在目标过小、遮挡、背景复杂等难题,提出了一种基于Flexible YOLOv7的绝缘子缺陷检测算法.该算法继承了 YOLOv7网络的E-ELAN结构、Rep重参数化和辅助训练策略,并且在特征提取的过程中集成GAM注意力机制以放大显著的跨维度接受区域,通过高效的Ghost SPPCSPC…查看全部>>
The stable operation of power equipment is an important prerequisite for ensuring production and life.The defect size of insulator on transmission line is small.The traditional target detection algorithm is usually difficult to iden-tify the defect target,and the false detection and missed detection rate are high.Therefore,an insulator defect detection algorithm based on Flexible YOLOv7 is proposed to solve the problems of small target,occlusion and complex …查看全部>>
宋智伟;黄新波;纪超;张烨
西安工程大学电子信息学院,西安 710048西安工程大学电子信息学院,西安 710048||西安电子科技大学机电工程学院,西安 710126西安工程大学电子信息学院,西安 710048西安工程大学电子信息学院,西安 710048
绝缘子缺陷检测Flexible YOLOv7GAM注意力机制Efficient IOU Loss图像后处理技术输电线路故障预警
insulator defect detectionFlexible YOLOv7GAM attention mechanismEfficient IOU Lossimage post-processing technologytransmission line fault warning
《高电压技术》 2023 (12)
5084-5094,11
陕西省重点研发项目(2021GY-306)陕西省自然科学基础研究计划(2022JQ-568)陕西省科学技术协会青年人才托举计划项目(20220133)西安市科技计划项目(22GXFW0041).Project supported by Key Research and Development Projects in Shaanxi Province(2021GY-306),Natural Science Basis Research Plan in Shaanxi Province of China(2022JQ-568),Young Talent Fund of Association for Science and Technology in Shaanxi Province(20220133),Xi'an Science and Technology Plan Pro-ject(22GXFW0041).
评论