A new method of narrowband interference suppression of partial discharge signal based on resonance sparse decompositio
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摘要: 针对电气设备局部放电信号容易被现场运行环境中的窄带干扰信号淹没、不易提取的难题,提出了基于共振稀疏分解的局部放电信号窄带干扰抑制新方法。该方法根据局部放电信号与窄带信号的振荡特征,分析并合理选择品质因子、冗余因子、分解层数和权重系数,实现了对含窄带干扰的局部放电信号的稀疏分解,并将其分解为高共振分量、低共振分量和残余分量,从而可提取出有效的局部放电信号。与小波变换阈值滤波法对比,该方法能更有效地抑制窄带干扰,且误差小、相似度高。仿真和实测数据的处理结果也验证了该方法的有效性。Abstract: For problem that partial discharge signal of electrical equipment is easy to be overwhelmed by narrowband interference signal in field operation environment, and is difficult to extract, a new method of narrowband interference suppression of partial discharge signal based on sparse decomposition resonance was proposed. Quality factor, redundancy factor, decomposition level and the weight coefficients were analyzed and selected, sparse decomposition of partial discharges signal with narrowband interference was realized according to the oscillation characteristics of partial discharge signals and narrowband signal. The partial discharges signal with narrowband interference was decomposed into high resonance component, low resonance component and residual component, so as to extract effective partial discharge signal. The method can effectively suppress narrowband interference, and has small error and high similarity compared with wavelet transform threshold filtering method. The results of simulation and experimental data demonstrate the effectiveness of the method.
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