基于分频带最优阈值函数的电力信号去噪

研究电力信号在传输过程中受到噪声污染问题。由于电网负荷较大,系统的运行随机性强,系统非线性引起电力信号噪声严重。针对小波阈值去噪算法存在较大的缺陷,传统改进算法全局阈值去噪的局限性,提出了一种适合电力信号去噪的分频带(分层)最优阈值函数去噪方法。新方法根据电力信号与噪声各频带能量分布特性得到各频带最优阈值,并对含噪电力信号逐层分频带最优阈值函数去噪处理,明显地降低了波形畸变率。仿真与实验结果表明,分频带最优阈值函数去噪方法明显提高了电力信号的去噪效果,提高了电力信号的检测精确度。

Power Signal Denoising Based on Sub- Band Optimal Threshold Function

Research the problems of power signal polluted in the processes of acquisition,transmission,and denoising.The frequently used traditional wavelet thresholding denoising algorithm is poor in denoising.This paper proposed a method of sub-band(hierarchical) optimal denoising threshold function for power signal denoising.The new method obtained the optimal threshold of each frequency band under the band energy characteristics of power signal and noise,denoised the noisy power signal with sub-band optimal threshold function.and reduced the waveform distortion significantly.Simulation and experimental results show that the method can improve the power signal denoising significantly and the accuracy of the power signal detection.