摘要
本文提出了一种自动化缺陷检测方法,旨在有效检测铁路接触网中腕臂支撑是否存在缺陷,确保铁路供电系统的安全稳定运行。该方法融合了深度学习与逻辑分析的优势,通过精准定位腕臂支撑区域及相关零部件,实现了对腕臂支撑状态的高效检测。
This paper proposes an automated defect detection method aimed at effectively identifying defects in the wrist arm supports of the electrified railway overhead contact system,ensuring the safe and stable operation of the railway power supply system.The method integrates the strengths of deep learning and logical analysis,accurately locating the wrist arm support areas and related components to achieve efficient detection of the wrist arm support status.
作者
孙云
符立强
武存宇
鲁宇加
Sun Yun;Fu Liqiang;Wu Cunyu;Lu Yujia(CHN ENERGY Institute of Transportation Technology Research,Beijing,China;Shuohuang Railway Development Co.,Ltd.,CHN Energy,Suning,China)
出处
《科学技术创新》
2025年第17期47-50,共4页
Scientific and Technological Innovation
关键词
接触网
腕臂支撑
缺陷检测
逻辑分析
contact Line
wrist arm support
defect detection
logical analysis
