基于改进变分模态分解的矿用高压电缆局放信号去噪研究
Research on denoising of partial discharge signal of mining high voltage cable based on improved variational modal decomposition
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摘要: 针对矿用高压交联聚乙烯(XLPE)电缆局部放电(Partial Discharge,PD)信号存在大量白噪声和周期性窄带干扰的问题,提出了一种基于改进变分模态(Variational Modal Decomposition,VMD)分解的矿用高压电缆局放信号去噪方法。首先利用Spearman相关系数对VMD算法中的K进行优化,再将含噪信号分解成一系列本征模态分量(Intrinsic Mode Function,IMF);通过峭度准则将IMF区分为噪声主导分量与PD主导分量;对噪声主导分量进行改进小波阈值去噪,对PD主导分量利用粗糙惩罚法进行平滑处理;将处理后的IMF进行重构,最终得到去噪信号。仿真和实测信号结果表明:该方法能有效地将PD信号中的噪声去除,与完全集合经验模态分解(Complete Ensemble Empirical Mode Decomposition,CEEMD)算法相比,信噪比提高了46.29%,均方误差降低了32.61%,具有优良的去噪性能。
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关键词:
- 局部放电 /
- 矿用XLPE电缆 /
- Spearman相关系数 /
- 变分模态分解 /
- 降噪
Abstract: Aiming at the problems of large amount of white noise and periodic narrow-band interference in partial discharge (PD) signal of mining high voltage XLPE cable, A denoising method based on improved Variational Modal Decomposition (VMD) is proposed for partial discharge signals of mining high-voltage cable. Firstly, the K in VMD algorithm is optimized by Spearman correlation coefficient, and then the noisy signal is decomposed into a series of intrinsic mode functions (IMF); IMF is divided into noised-dominated IMF and the PD-dominated IMF by kurtosis criterion; The noised-dominated IMF is denoised by improved wavelet threshold, and the rough penalty method is used to smooth the PD-dominated IMF; The processed IMF is reconstructed and the denoised signal is finally obtained. The simulation and measured signal results show that this method can effectively remove the noise in PD signal. Compared with the complete ensemble empirical mode decomposition (CEEMD) algorithm, the signal-to-noise ratio is improved by 46.29% and the mean square error is reduced by 32.61%.
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