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Icing Condition Assessment of In-Service Glass Insulators Based on Graphical Shed Spacing and Graphical Shed Overhang

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  • Yanpeng Hao

    (School of Electric Power, South China University of Technology, Guangzhou 510640, China)

  • Jie Wei

    (School of Electric Power, South China University of Technology, Guangzhou 510640, China)

  • Xiaolan Jiang

    (School of Electric Power, South China University of Technology, Guangzhou 510640, China)

  • Lin Yang

    (School of Electric Power, South China University of Technology, Guangzhou 510640, China)

  • Licheng Li

    (School of Electric Power, South China University of Technology, Guangzhou 510640, China)

  • Junke Wang

    (Electric Power Research Institute, China Southern Power Grid, Guangzhou 510080, China)

  • Hao Li

    (Electric Power Research Institute, China Southern Power Grid, Guangzhou 510080, China)

  • Ruihai Li

    (Electric Power Research Institute, China Southern Power Grid, Guangzhou 510080, China)

Abstract

Icing on transmission lines might lead to ice flashovers of insulators, collapse of towers, tripping faults of transmission lines, and other accidents. Shed spacing and shed overhang of insulators are clues for evaluating the probability of ice flashover. This paper researches image-processing methods for the natural icing of in-service glass insulators. Calculation methods of graphical shed spacing and graphical shed overhang are proposed via recognizing the convexity defects of the contours of an icing insulator string based on the GrabCut segmentation algorithm. The experiments are carried out with image data from our climatic chamber and the China Southern Power Grid Disaster (Icing) Warning System of Transmission Lines. The results show that the graphical shed overhang of insulators show evident change due to icing. This method can recognize the most serious icing conditions where the insulator sheds are completely bridged. Also, it can detect bridging positions including the left side, right side, or both sides of the insulator strings in the images.

Suggested Citation

  • Yanpeng Hao & Jie Wei & Xiaolan Jiang & Lin Yang & Licheng Li & Junke Wang & Hao Li & Ruihai Li, 2018. "Icing Condition Assessment of In-Service Glass Insulators Based on Graphical Shed Spacing and Graphical Shed Overhang," Energies, MDPI, vol. 11(2), pages 1-12, February.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:2:p:318-:d:129900
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    References listed on IDEAS

    as
    1. Jingjing Wang & Junhua Wang & Jianwei Shao & Jiangui Li, 2017. "Image Recognition of Icing Thickness on Power Transmission Lines Based on a Least Squares Hough Transform," Energies, MDPI, vol. 10(4), pages 1-15, March.
    2. Melnykov, Igor & Melnykov, Volodymyr, 2014. "On K-means algorithm with the use of Mahalanobis distances," Statistics & Probability Letters, Elsevier, vol. 84(C), pages 88-95.
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    Citations

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    Cited by:

    1. Yanpeng Hao & Zhaohong Yao & Junke Wang & Hao Li & Ruihai Li & Lin Yang & Wei Liang, 2019. "A Classification Method for Transmission Line Icing Process Curve Based on Hierarchical K-Means Clustering," Energies, MDPI, vol. 12(24), pages 1-14, December.
    2. Xiangxin Li & Ming Zhou & Yazhou Luo & Gang Wang & Lin Jia, 2018. "Effect of Ice Shedding on Discharge Characteristics of an Ice-Covered Insulator String during AC Flashover," Energies, MDPI, vol. 11(9), pages 1-11, September.
    3. Yong Liu & Qiran Li & Masoud Farzaneh & B. X. Du, 2020. "Image Characteristic Extraction of Ice-Covered Outdoor Insulator for Monitoring Icing Degree," Energies, MDPI, vol. 13(20), pages 1-12, October.
    4. Zhaobin Wang & Yongke Lv & Runliang Wu & Yaonan Zhang, 2023. "Review of GrabCut in Image Processing," Mathematics, MDPI, vol. 11(8), pages 1-41, April.
    5. Xiaoming Zhang & Hui Yin, 2019. "A Monocular Vision-Based Framework for Power Cable Cross-Section Measurement," Energies, MDPI, vol. 12(15), pages 1-26, August.

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