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基于PCM及PRPD图谱诊断绝缘子故障的研究

Research on insulator fault diagnosis based on PCM and PRPD spectrum

  • 摘要: 本文以脉冲电流法(PCM)为核心检测手段,以相位分辨局部放电(PRPD)图谱为故障诊断核心载体,构建了完整绝缘子故障诊断体系。针对现场强电磁的环境,采用分层自适应启发式阈值小波去噪算法替代传统通用阈值去噪方案,有效解决了过度去噪、弱信号丢失的问题,为PRPD图谱特征提取提供了高保真信号基础;构建时域、频域、相位域三维一体的特征提取体系,建立了覆盖绝缘子故障严重程度分级、故障类型精准识别的综合诊断模型。

     

    Abstract: In this paper, the pulse current method (PCM) is used as the core detection method, and the phase resolved partial discharge (PRPD) spectrum is used as the core carrier of fault diagnosis, and a complete insulator fault diagnosis system is constructed. In view of the strong electromagnetic environment on site, the hierarchical adaptive heuristic threshold wavelet denoising algorithm is used to replace the traditional general threshold denoising scheme, which effectively solves the problems of excessive denoising and weak signal loss, and provides a high fidelity signal basis for feature extraction of PRPD spectrum; A three-dimensional feature extraction system in time domain, frequency domain and phase domain is constructed, and a comprehensive diagnosis model covering insulator fault severity classification and accurate fault type identification is established.

     

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