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Partial discharge location of power cables based on an improved phase difference method

机译:基于改进相差法的电力电缆局部放电位置

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This paper aims to use only one sensor to achieve better PD fault location of power cables in a low signal-to-noise ratio (SNR) noise environment. Therefore, an improved phase difference (IPD) method based on one sensor is used to estimate the PD fault location of power cables. This method has a good advantage of using only the first two PD peaks, which is suitable for location estimation in the low SNR noise environment. The white Gaussian noise is regarded as background noise to simulate the noise environment. In order to enhance the accuracy of the IPD method in the noisy environment, a new denoising algorithm combining high-order statistics (HOS) criterion and generalized cross-validation (GCV) thresholding is proposed to process PD signals. The results show the good performance of the proposed denoising algorithm and higher location accuracy of the IPD method in the low SNR noise environment.
机译:本文旨在仅在低信噪比(SNR)噪声环境下使用一个传感器来实现电力电缆的PD故障定位。因此,基于一个传感器的改进的相位差(IPD)方法用于估计电力电缆的PD故障位置。该方法具有仅使用前两个PD峰值的良好优势,适用于低SNR噪声环境中的位置估计。高斯白噪声被认为是模拟噪声环境的背景噪声。为了提高在嘈杂环境中IPD方法的准确性,提出了一种结合高阶统计量(HOS)准则和广义交叉验证(GCV)门限的去噪算法来处理PD信号。结果表明,该算法在低SNR噪声环境下具有良好的去噪性能,并且IPD方法具有更高的定位精度。

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