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Gas Insulated Switchgear (GIS) relies on partial discharge (PD) detection to monitor insulation and prevent failures. While the Ultra-High Frequency (UHF) method is effective, its high cost limits widespread use. This paper introduces a cost-effective approach using envelope detection to down-convert UHF signals for PD monitoring and classification. Simulated PD defects provided UHF signals, which were processed using envelope detection. Features from single PD pulse envelopes were extracted and classified using a support vector machine (SVM) with K-fold cross-validation. Tests on various discharge modes showed the system achieved over 85% accuracy.

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Research on UHF Signal Monitoring Technology of GIS Partial Discharge Based on Envelope Detection Converter

  • 会议论文

  • 发表日期：

    2025年

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  • Zhengyong Hu,
  • Dexiang Li,
  • Peng Xu,
  • Huteng Liu,
  • Jiawen Li,
  • Guliang Zhou,
  • Jiajun Guo,
  • Zhengda Shao

摘要

Gas Insulated Switchgear (GIS) relies on partial discharge (PD) detection to monitor insulation and prevent failures. While the Ultra-High Frequency (UHF) method is effective, its high cost limits widespread use. This paper introduces a cost-effective approach using envelope detection to down-convert UHF signals for PD monitoring and classification. Simulated PD defects provided UHF signals, which were processed using envelope detection. Features from single PD pulse envelopes were extracted and classified using a support vector machine (SVM) with K-fold cross-validation. Tests on various discharge modes showed the system achieved over 85% accuracy.