Laser & Optoelectronics Progress, Volume. 57, Issue 20, 201502(2020)

Visual Detection of Stockbridge Damper Slip on Power Transmission Lines Based on Key Points

Youwei Liu1、*, Shaosheng Fan1, Lijun Tang2, Yong Feng2, and Haotao Li2
Author Affiliations
  • 1School of Electrical & Information Engineering, Changsha University of Science & Technology, Changsha, Hunan 410114, China;
  • 2Electric Power Research Institute, Yunnan Power Grid Co., Ltd., Kunming, Yunnan 650217, China
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    References(16)

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    [6] Jin L J, Yan S J, Liu Y. Vibration damper recognition based on Haar-like features and cascade AdaBoost classifier[J]. Journal of System Simulation, 24, 1806-1809(2012).

    [7] Tang H W, Sun W, Zhang W Y et al. Wavelet neural network method based on particle swarm optimization for obstacle recognition of power line deicing robot[J]. Journal of Mechanical Engineering, 53, 55-63(2017).

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    [14] Zhu K, Tao P, Fu Z L et al. Ultrasound image fixed point measurement based on landmark detection method[J]. Journal of Harbin Institute of Technology, 50, 67-73(2018).

    [16] Li G Z. Graphical method for calculating the installation distance of earthquake vibration hammer[J]. High Voltage Technology, 53-60(1980).

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    Youwei Liu, Shaosheng Fan, Lijun Tang, Yong Feng, Haotao Li. Visual Detection of Stockbridge Damper Slip on Power Transmission Lines Based on Key Points[J]. Laser & Optoelectronics Progress, 2020, 57(20): 201502

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    Paper Information

    Category: Machine Vision

    Received: Jan. 19, 2020

    Accepted: Feb. 24, 2020

    Published Online: Oct. 14, 2020

    The Author Email: Youwei Liu (erwill@qq.com)

    DOI:10.3788/LOP57.201502

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