Detection system of damaged cables using video obtained from an aerial inspection of transmission lines

被引：0
|
作者：
Ishino, R [1 ]
Tsutsumi, F [1 ]
机构：
[1] Elect Power Ind, Cent Res Inst, Tokyo 2018511, Japan
来源：
2004 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1 AND 2 | 2004年
关键词：
fault detection; image processing; image recognition; inspection; transmission;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A detection system for cables damaged by lightning stroke is developed using videos obtained from an aerial inspection of transmission lines. The system detects arc marks and cut wires. Arc marks are detected by statistical analysis of the brightness of a cable image. Cut wires are detected by comparing the contour of the cable, which was obtained with a video camera, with its ideal shape. The developed system was applied to videos of 20 cases, which included a damaged cable. The total number of images was 6000. The system could detect all types of cable damage. In 97.8% of images, the system worked well, making it suitable for aid in the inspection of transmission lines.
引用
收藏
页码：1857 / 1862
页数：6
相关论文
共 50 条
  • [1] Aerial video inspection of overhead power lines
    Whitworth, CC
    Duller, AWG
    Jones, DI
    Earp, GK
    POWER ENGINEERING JOURNAL, 2001, 15 (01): : 25 - 32
  • [2] Vision based inspection of transmission lines using unmanned aerial vehicles
    Menendez, Oswaldo A.
    Perez, Marcelo
    Auat Cheein, Fernando A.
    2016 IEEE INTERNATIONAL CONFERENCE ON MULTISENSOR FUSION AND INTEGRATION FOR INTELLIGENT SYSTEMS (MFI), 2016, : 412 - 417
  • [3] Robotized installation of signalling aerial spheres in transmission lines cables
    Montenegro, MC
    Bracarense, AQ
    Pereira, GAS
    Pinheiro, GA
    Oliveira, MD
    Vale, SRD
    INTELLIGENT ASSEMBLY AND DISASSEMBLY 2001, 2002, : 91 - 99
  • [4] Aerial video inspection of Greek power lines structures using machine learning techniques
    Tsellou, Aikaterini
    Moirogiorgou, Konstantia
    Plokamakis, Georgios
    Livanos, George
    Kalaitzakis, Kostas
    Zervakis, Michalis
    2022 IEEE INTERNATIONAL CONFERENCE ON IMAGING SYSTEMS AND TECHNIQUES (IST 2022), 2022,
  • [5] Power Transmission Lines Inspection using Properly Equipped Unmanned Aerial Vehicle (UAV)
    Zormpas, Alexandros
    Moirogiorgou, Konstantia
    Kalaitzakis, Kostas
    Plokamakis, George A.
    Partsinevelos, Panayotis
    Giakos, George
    Zervakis, Michalis
    2018 IEEE INTERNATIONAL CONFERENCE ON IMAGING SYSTEMS AND TECHNIQUES (IST), 2018, : 391 - 395
  • [6] A Method of Insulator Faults Detection in Aerial Images for High-Voltage Transmission Lines Inspection
    Han, Jiaming
    Yang, Zhong
    Zhang, Qiuyan
    Chen, Cong
    Li, Hongchen
    Lai, Shangxiang
    Hu, Guoxiong
    Xu, Changliang
    Xu, Hao
    Wang, Di
    Chen, Rui
    APPLIED SCIENCES-BASEL, 2019, 9 (10):
  • [7] A Fault Detection Method for Power Transmission Lines Using Aerial Images
    Zhang, Yulong
    Cao, Shaowei
    Mu, Lingxia
    Xue, Xianghong
    Xin, Jing
    Zhang, Youmin
    2024 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS, ICUAS, 2024, : 1247 - 1252
  • [8] Research Progress in Unmanned Aerial Vehicle Inspection Technology on Overhead Transmission Lines
    Shao G.
    Liu Z.
    Fu J.
    Tan J.
    Chen Y.
    Zhou L.
    Gaodianya Jishu/High Voltage Engineering, 2020, 46 (01): : 14 - 22
  • [9] Aerial inspection of overhead power lines using video: estimation of image blurring due to vehicle and camera motion
    Jones, DI
    IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING, 2000, 147 (02): : 157 - 166
  • [10] Insulator Detection in Aerial Images for Transmission Line Inspection Using Single Shot Multibox Detector
    Miao, Xiren
    Liu, Xinyu
    Chen, Jing
    Zhuang, Shengbin
    Fan, Jianwei
    Jiang, Hao
    IEEE ACCESS, 2019, 7 : 9945 - 9956
12345