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Research on Mechanical Defect Detection and Diagnosis Method for GIS Equipment Based on Vibration Signal

Author

Listed:
  • Liang He

    (Tsinghua Sichuan Energy Internet Research Institute, Chengdu 610312, China)

  • Jie Yang

    (Chengdu Aeronautic Polytechnic, Chengdu 610100, China)

  • Ziwei Zhang

    (Tsinghua Sichuan Energy Internet Research Institute, Chengdu 610312, China)

  • Zongwu Li

    (State Grid Sichuan Maintenance Company, Chengdu 610041, China)

  • Dengwei Ding

    (Tsinghua Sichuan Energy Internet Research Institute, Chengdu 610312, China)

  • Minghu Yuan

    (Tsinghua Sichuan Energy Internet Research Institute, Chengdu 610312, China)

  • Rong Li

    (Tsinghua Sichuan Energy Internet Research Institute, Chengdu 610312, China)

  • Mao Chen

    (Tsinghua Sichuan Energy Internet Research Institute, Chengdu 610312, China)

Abstract

Gas insulated switchgear equipment (GIS) is widely used in power system, and more attention has been paid to discharge defects than mechanical defects. However, since mechanical defects are a major cause of the failure in GIS, it is of great significance to carry out relevant research on mechanical defects. Detection and diagnosis methods of mechanical defects based on vibration signal are studied in this paper. Firstly, vibration mechanisms of GIS are analyzed. Due to structural differences between single phase insulated type GIS and three phase insulated type GIS, there are big differences in vibration mechanisms between the two types of GISs. Secondly, experimental research on mechanical defects is carried out based on a 110 kV GIS equipment and a self-developed vibration detection system; results show that mechanical defects can be diagnosed by analyzing signal amplitude, frequency spectrum and waveform distortion rate, and a large current is more beneficial for diagnosing mechanical defects. Lastly, field application has been carried out on 220 kV GIS equipment, and a poor contact defect is found, demonstrating that abnormal diagnosis can be realized by method proposed in this paper. Experimental research and field application demonstrate the feasibility and effectiveness of detection and diagnosis method for mechanical defects based on vibration signal and provide experience for subsequent engineering application.

Suggested Citation

  • Liang He & Jie Yang & Ziwei Zhang & Zongwu Li & Dengwei Ding & Minghu Yuan & Rong Li & Mao Chen, 2021. "Research on Mechanical Defect Detection and Diagnosis Method for GIS Equipment Based on Vibration Signal," Energies, MDPI, vol. 14(17), pages 1-16, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5507-:d:628622
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    Cited by:

    1. Hengyang Zhao & Guobao Zhang & Xi Yang, 2022. "GIS Fault Prediction Approach Based on IPSO-LSSVM Algorithm," Sustainability, MDPI, vol. 15(1), pages 1-11, December.

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