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Detection and Diagnosis of Defect in GIS Based on X-ray Digital Imaging Technology

Author

Listed:
  • Tianhui Li

    (State Grid Hebei Electric Power Research Institute, State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050021, China)

  • Xianhai Pang

    (State Grid Hebei Electric Power Research Institute, State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050021, China)

  • Boyan Jia

    (State Grid Hebei Electric Power Research Institute, State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050021, China)

  • Yanwei Xia

    (State Grid Hebei Electric Power Research Institute, State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050021, China)

  • Siming Zeng

    (State Grid Hebei Electric Power Research Institute, State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050021, China)

  • Hongliang Liu

    (State Grid Hebei Electric Power Research Institute, State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050021, China)

  • Hao Tian

    (Pinggao Group Co., Ltd., Pingdingshan 467001, China)

  • Fen Lin

    (Xiamen Jiahua Electrical Technology Co., Ltd., Fuzhou 350026, China)

  • Dan Wang

    (Hebei Institute of Communications, Shijiazhuang 050021, China)

Abstract

For better application of X-ray digital imaging technology in defect detection in Gas Insulated Switchgear (GIS), it is essential to investigate the typical defect and establish the defect database, which has not been adequately performed in previous work. Systematic experimental research is also needed to accumulate data and experience. In this research, an experimental platform, including Computed Radiography (CR) imaging system and a GIS model, is built, and extensive tests of different kinds of typical defects are studied. The influence X-ray irradiation on SF 6 under different tube voltage levels is firstly examined, which proves that the withstand voltage of SF 6 gas has not been affected and no dissociation has been found. Then, several kinds of defects are tested by X-ray digital imaging technology. The successful application examples of “visual” detection of defects further prove the practicability and validity of the X-ray digital imaging technique. Finally, the image database of typical defects inside of GIS is established and the defect risk is also analyzed in three levels, which would be useful for the defect severity diagnosis and risk assessment.

Suggested Citation

  • Tianhui Li & Xianhai Pang & Boyan Jia & Yanwei Xia & Siming Zeng & Hongliang Liu & Hao Tian & Fen Lin & Dan Wang, 2020. "Detection and Diagnosis of Defect in GIS Based on X-ray Digital Imaging Technology," Energies, MDPI, vol. 13(3), pages 1-18, February.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:3:p:661-:d:316457
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    References listed on IDEAS

    as
    1. Tianhui Li & Mingzhe Rong & Xiaohua Wang & Jin Pan, 2017. "Experimental Investigation on Propagation Characteristics of PD Radiated UHF Signal in Actual 252 kV GIS," Energies, MDPI, vol. 10(7), pages 1-12, July.
    2. Ju Tang & Jiabin Zhou & Xiaoxing Zhang & Fan Liu, 2012. "A Transformer Partial Discharge Measurement System Based on Fluorescent Fiber," Energies, MDPI, vol. 5(5), pages 1-13, May.
    3. Tianyan Jiang & Jian Li & Yuanbing Zheng & Caixin Sun, 2011. "Improved Bagging Algorithm for Pattern Recognition in UHF Signals of Partial Discharges," Energies, MDPI, vol. 4(7), pages 1-15, July.
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    1. Łukasz Nagi & Michał Kozioł & Jarosław Zygarlicki, 2020. "Comparative Analysis of Optical Radiation Emitted by Electric Arc Generated at AC and DC Voltage," Energies, MDPI, vol. 13(19), pages 1-10, October.

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