Traditional time-frequency methods for partial discharge (PD) de-noising have some limitations such as low time-frequency resolution, single de-noising type and poor readability. In this paper, a novel de-noising algorithm based on synchro-squeezed continuous wavelet transform (CWT) is adopted to filter out narrowband noise and white noise. The synchro-squeezed CWT algorithm is designed to redistribute the time-frequency domain and to distinguish the signal from the noise carefully as a high-rate time-frequency analysis. High-order statistics is employed to pre-process the polluted PD signal. The generalized cross-validation (GCV) threshold is combined with the adaptive trimmed threshold of synchro-squeezing (SS) domain to deal with the subsequent signals. The proposed algorithm can effectively suppress two kinds of noise, and the signal distortion is lower.

中文翻译：

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基于同步压缩连续小波变换的变压器局部放电去噪研究

传统的局部放电（PD）时频去噪方法存在时频分辨率低、去噪类型单一、可读性差等局限性。本文采用一种基于同步压缩连续小波变换（CWT）的新型去噪算法来滤除窄带噪声和白噪声。同步压缩 CWT 算法旨在重新分配时频域并作为高速时频分析仔细区分信号和噪声。采用高阶统计对受污染的局放信号进行预处理。广义交叉验证（GCV）阈值与同步压缩（SS）域的自适应修剪阈值相结合来处理后续信号。所提出的算法可以有效抑制两种噪声，