张梦楠, 李春茂, 刘凯, 陈祖祥, 安钊. 基于广义S变换和奇异值分解的局放信号降噪优化方法[J]. 电网技术, 2021, 45(8): 3305-3313. DOI: 10.13335/j.1000-3673.pst.2020.0940
引用本文: 张梦楠, 李春茂, 刘凯, 陈祖祥, 安钊. 基于广义S变换和奇异值分解的局放信号降噪优化方法[J]. 电网技术, 2021, 45(8): 3305-3313. DOI: 10.13335/j.1000-3673.pst.2020.0940
ZHANG Mengnan, LI Chunmao, LIU Kai, CHEN Zuxiang, AN Zhao. Noise Reduction Optimization of Partial Discharge Signal Based on Generalized S Transform and Singular Value Decomposition[J]. Power System Technology, 2021, 45(8): 3305-3313. DOI: 10.13335/j.1000-3673.pst.2020.0940
Citation: ZHANG Mengnan, LI Chunmao, LIU Kai, CHEN Zuxiang, AN Zhao. Noise Reduction Optimization of Partial Discharge Signal Based on Generalized S Transform and Singular Value Decomposition[J]. Power System Technology, 2021, 45(8): 3305-3313. DOI: 10.13335/j.1000-3673.pst.2020.0940

基于广义S变换和奇异值分解的局放信号降噪优化方法

Noise Reduction Optimization of Partial Discharge Signal Based on Generalized S Transform and Singular Value Decomposition

  • 摘要: 针对电缆终端局部放电现场检测时存在白噪声、周期性窄带干扰问题,提出一种基于广义S变换和奇异值分解的局放信号降噪方法。该方法首先通过广义S变换自适应获取窄带干扰个数并截取局放信号所在片段,然后利用改进的3谱线插值法对窄带干扰频率进行精确估计并构造引导信号加入原信号中,对该信号利用奇异值分解实现对混合噪声的抑制。通过对仿真、实测局放信号进行去噪,并与传统降噪方法进行对比分析。结果表明,该方法对于混合噪声干扰具有更优的抑制效果,能较好地还原局部放电信号。

     

    Abstract: In order to solve the problem of white noise and periodic narrow-band interference in the field detection of partial discharge in cable terminals, a noise reduction method based on generalized S transform and singular value decomposition is proposed. In this method, the number of narrowband interference is obtained by the generalized S-transformation adaptively and the segment where the partial discharge is intercepted. Then the improved 3 spectral line interpolation method is proposed to accurately estimate the narrowband interference frequency and construct the guide signal to be added to the original signal. This signal is decomposed by the singular value to suppress the mixed noise. The method in this paper is used to the simulated and measured partial discharge signals, and compared with the traditional denoising method. The results show that this method has better suppression effect on mixed noise interference and can restore PD signal well.

     

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