851 / 2022-06-05 16:47:32
Experiment and Research on Multi-Spectral Detection of Composite Insulators’ Typical Defects under the Perspective of Unmanned Aerial Vehicle
composite insulator,multi-spectral detection,infrared detection,ultraviolet detection,distance,High Sensitivity Distance,Unmanned aerial vehicle (UAV)
终稿
Lumin Zhao / State Grid Zhejiang Electric Power Research Institute
Te Li / State Grid Zhejiang Electric Power Research Institute
Yong Yang / State Grid Zhejiang Electric Power Research Institute
Lin Zhao / State Grid Zhejiang Electric Power Research Institute
Zhihan Xie / Center of Mass Entrepreneurship and Innovation State Grid Zhejiang Electric Power Co.; Ltd(State Grid Zhejiang Xinxing Technology Co.Ltd.)
Kaihua Jiang / State Grid Zhejiang Electric Power Research Institute
Currently, due to the lack of researches on how the reliability of ultraviolet(UV) detection based on Unmanned Aerial Vehicle(UAV) is influenced by distance, and the shortage of infrared(IR) and UV image pairs for comparative analysis, the development of multi-spectral intelligent detection technology for composite insulators is greatly restricted. In this paper, composite insulators with 3 kinds of typical defects, including mandrel rot, poor sheath-mandrel bonding and internal metal foreign body, were tested in laboratory respectively by hand-held IR and UV detectors under the perspective of UAV. Results show that, within 15 meters' "High Sensitivity Ranging", the UV lens can still maintain effective capabilities of defect identification and positioning even if the received defect discharge signal is weak to an approximate interference level; under rated voltage and if sheath is undamaged, only the IR heating of mandrel rot defect can be observed but without UV discharge; if sheath is damaged, the relative position characteristics of 3 typical defects’ heating and discharge are different; the complementarity of IR and UV detection endows multi-spectral detection a good reliability under unfavorable camera angles.

 
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
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询