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XU Aihua, HU Hongbo, ZANG Chunyan, LI Hairong, ZENG Zhuo, XU Hao, CUI Chenxi. Research on Vibration Detection Method for Partial Discharge Faults in GIL[J]. Metrology Science and Technology. doi: 10.12338/j.issn.2096-9015.2023.0329
Citation: XU Aihua, HU Hongbo, ZANG Chunyan, LI Hairong, ZENG Zhuo, XU Hao, CUI Chenxi. Research on Vibration Detection Method for Partial Discharge Faults in GIL[J]. Metrology Science and Technology. doi: 10.12338/j.issn.2096-9015.2023.0329

Research on Vibration Detection Method for Partial Discharge Faults in GIL

doi: 10.12338/j.issn.2096-9015.2023.0329
  • Received Date: 2023-12-04
  • Accepted Date: 2023-12-18
  • Rev Recd Date: 2023-12-20
  • Available Online: 2023-12-27
  • During the production and transportation of GIL, internal defects may occur, leading to localized partial discharge faults during operation, accompanied by abnormal vibration and sound signals. When GIL malfunctions, it not only causes serious damage to the equipment itself, but also poses a threat to the stable operation of the power system. This paper studies a method for detecting partial discharge faults in GIL based on vibration signals, which can accurately identify specific units and locations of the faults. The paper analyzes the characteristics of vibration signals in GIL localized partial discharge fault states. By processing and identifying signals collected from simulated experiments and on-site tests, the identification method has been optimized, enabling accurate and effective determination of whether GIL has experienced localized partial discharge faults.
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