基于特高频信号的GIS局部放电诊断方法

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中图分类号：TM595 文献标志码：A 文章编号： 1000-5013（2026）01-0041-09

Diagnostic Methods for GIS Partial Discharge Based on Ultra-High Frequency Signals

ZHANG Kaixiang，FANG Ruiming，SHANG Rongyan， SHAO Pengfei， PENG Changqing

（Collge of Information Science and Engineering，Huaqiao University，Xiamen 36lo21，China）

Abstract：To improve the discriminability of feature extraction and the accuracy of recognition in ultra-high frequency signal-based partial discharge diagnosis for gas insulated switchgear，a partial discharge diagnosis method for gas insulated switchgear is proposed by integrating improved complete ensemble empirical mode decomposition with a Transformer model. First，the improved complete ensemble empirical mode decomposition is used to decompose ultra-high frequency partial discharge signals，where an animated oat optimization algorithm is introduced to optimize key parameters and improve decomposition performance. Second，the Pearson corelation coeficient is adopted to further screen the decomposition results，and key feature indicators are extracted to construct the shalow feature matrix of partial discharge signals. Then，a Transformer model improved by the multi-head causal self-attention mechanism is introduced to extract and fuse deep features of partial discharge signals. Finaly，a gas insulated switchgear partial discharge fault simulation platform is built to simulate four typical fault types，and the collected ultra-high frequency partial discharge signals are subjected to feature extraction and fusion using the proposed method.A radial basis function support vector machine model optimized by the animated oat optimization algorithm is then constructed for fault diagnosis.Experimental results show that the proposed method can efectively extract features from ultrahigh frequency partial discharge signals and improve the diagnosis accuracy.

Keywords：ultra-high frequency；gas insulated switchgear；partial discharge；improved complete ensemble empirical mode decomposition

气体绝缘开关设备（GIS）是保障电力系统安全稳定运行的重要设备。（剩余9631字）