The aim of this article is to create a novel filtering algorithm for the emitted electromagnetic signals of corona discharges, using the special time-domain features of the continuous wavelet transform. The first part of this article therefore focuses on the time-domain examination of these signals to find characteristic features that are compatible with the wavelet transform. The second part of this article utilizes these features to create and validate the filtering algorithm. This is an important step toward creating an accurate three-dimensional partial discharge location approximation system that could contribute to preventing and finding partial-discharge-related faults. In the presented research, needle-plane corona discharge sources with different geometries are tested at both ac and dc voltages.

中文翻译：

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开发一种利用电晕放电发射的电磁信号进行局部放电位置近似的滤波算法


本文的目的是利用连续小波变换的特殊时域特征，为电晕放电发射的电磁信号创建一种新颖的滤波算法。因此，本文的第一部分重点关注这些信号的时域检查，以找到与小波变换兼容的特征。本文的第二部分利用这些功能来创建和验证过滤算法。这是创建精确的三维局部放电位置近似系统的重要一步，该系统有助于预防和发现与局部放电相关的故障。在本研究中，不同几何形状的针面电晕放电源在交流和直流电压下进行了测试。