320 / 2022-03-15 13:42:00
Identification Method for Composite Insulator Pulverization Defect Based on YOLOv5 Algorithm
Identification Method,Composite Insulator,Pulverization Defect,YOLOv5 Algorithm
终稿
Kaihua Jiang / State Grid Zhejiang Electric Power Research Institute
Bingxiao Mei / State Grid Zhejiang Electric Power Research Institute
Te Li / State Grid Zhejiang Electric Power Research Institute
Yafeng Chao / State Grid Hunan Electric Power Research Institute
Shaohua Wang / State Grid Zhejiang Electric Power Research Institute
Cheng Lei / School of Artificial Intelligence and Automation ,HUST
Zhihui Feng / WuHan NARI Limited Liability Company of State Grid Electric Power Research Institute
Different degrees of pulverization will occur on the surface of silicone rubber composite insulators operating in harsh environments such as strong ultraviolet, high altitude, salt fog and high humidity, thus affecting the operation performance of insulators. In this paper, image of more than 2000 pulverized composite insulators operating in Zhejiang power grid is captured by UAV. The judgment principle of severe pulverization is determined according to the characteristics of pulverization image and the influence of pulverization on the operation performance of composite insulator. The identification method for composite insulator pulverization defect is established based on YOLOv5 algorithm, and the identification accuracy of severe pulverization reaches 96.53% through test samples.
重要日期
  • 会议日期

    09月25日

    2022

    09月29日

    2022

  • 08月15日 2022

    提前注册日期

  • 09月10日 2022

    报告提交截止日期

  • 11月10日 2022

    注册截止日期

  • 11月30日 2022

    初稿截稿日期

  • 11月30日 2022

    终稿截稿日期

主办单位
IEEE DEIS
承办单位
Chongqing University
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