Open Access
Volume 36, Number 3, June 2018
Page(s) 432 - 438
Published online 08 October 2018
  1. Paulo D, Michele G. Expliner-From Prototype Towards a Practical Robot for Inspection of High-Voltage Lines[C]//Applied Robotics for the Power Industry, 2010: 1-6 [Article] [Google Scholar]
  2. Serge M, Nicolas P. Hydro-Québec’s Power Line Robotics Program: 15 Years of Development, Implementation and Partnerships[C]//Applied Robotics for the Power Industry, 2014: 1-6 [Article] [Google Scholar]
  3. Nicolas P, Pierreluc R, Serge M. Line Scout Technology Opens the Way to Robotic Inspection and Maintenance of High-Voltage Power Lines[J]. IEEE Power and Energy Technology Systems Journal, 2015, 2(1):1-11 [Article] [CrossRef] [Google Scholar]
  4. Wang Yaonan, Wei Shuning, Yin Feng, et al. Review on Key Technology of Deicing Robot Running on Overhead Transmission Line[J]. Chinese Journal of Mechanical Engineering, 2011, 47(23):30-38 (in Chinese) [Article] [CrossRef] [Google Scholar]
  5. Xu Xianjin, Li Weifeng, Wu Gongping, et al. An Autonomous Inspection Robot for Transmission Line along Overhead Ground Line and its Application[J]. Engineering Journal of Wuhan University, 2010, 43(6):752-756 (in Chinese) [Article] [Google Scholar]
  6. Song Yifeng, Wang Hongguang. A Vision-Based Broken Strand Detection Method for a Power-Line Maintenance Robot[J]. IEEE Trans on Power Delivery, 2014, 29(5):2154-2161 [Article] [CrossRef] [Google Scholar]
  7. Song Yifeng, Wang Hongguang, Li Zhenhui, et al. Vision Based Transmission Line Broken Strand Detection and Robot Behaviour Planning[J]. Robot, 2015, 37(2):204-211 (in Chinese) [Article] [Google Scholar]
  8. Li Zhenhui, Wang Hongguang, Wang Yuechao, et al. Line-Grasping Control for a Power Transmission Line Inspection Robot[J]. Journal of Jilin University, 2015, 45(5):1519-1526 (in Chinese) [Article] [Google Scholar]

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