电力电缆作为电能传输的重要组件,通过局部放电(Partial Discharge,PD)信号的状态来确定电缆的绝缘损伤很重要.由于电缆工作环境的声音嘈杂,导致检测到的局放信号被淹没.提出基于逐次变分模态分解(Successive Variational Modal Decomposition,SVMD)的电缆局放信号降噪算法.首先,应用SVMD自适应分解出PD信号的K个本征模态分量(Intrinsic Mode Function,IMF);其次,通过互相关系数判别IMF分量的性质,区分有效分量和噪声分量.去除噪声分量,并应用奇异值分解(Singular Value Decomposition,SVD)法对有效分量除去残余噪声,可得到降噪后的PD信号.仿真和实测实验结果表明,这种方法具有良好的降噪能力,提高了信号处理的精度,并与VMD-小波阈值法相比,信噪比平均提升了17.98％,去噪效果最好.
Algorithm of cable partial discharge signal denoising based on successive variational modal decomposition
Power cables as important components for power transmission,it is important to determine the insulation damage of the cable based on the partial discharge(PD)signal.Due to the noisy working environment of the cable,the detected PD signals are suppressed.A denoising algorithm of cable PD signals based on successive variational mode decomposition(SVMD)was proposed.In the first place,the PD signal undergoes adaptive decomposition using SVMD to get K intrinsic mode function(IMF).Secondly,the properties of the IMF components are determined by the number of interrelationships,distinguishing between the effective and noisy components.Re-move the noisy components and by utilizing the singular value decomposition(SVD)to remove the remanent noise of the effective com-ponents,the denoised PD signal can be obtained.The simulation and experimental results show that this method has good denoising abil-ity,improves the accuracy of signal processing,and compared with VMD wavelet thresholding method,the average SNR is improved by 17.98％,with the best denoising effect.
partial dischargesuccessive variational modal decompositioncross-correlation coefficientsingular value decomposition
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