改进的小波阈值去噪法在电能质量检测中的应用  

Application of Improved Wavelet Threshold De-noising to the Power Quality Detection

作　　者：牛艺桥 任国臣[1] 张超[1] 戴祥臣 

机构地区：[1]辽宁工业大学电气工程学院,辽宁锦州121001

出　　处：《辽宁工业大学学报（自然科学版）》2015年第4期220-224,共5页Journal of Liaoning University of Technology(Natural Science Edition)

摘　　要：针对小波软阈值去噪存在固定偏差和硬阈值去噪存在不连续的缺点以及电力系统信号的特点,采用了一种改进的信号去噪方法,该方法采用"3σ规则"选取阈值,再将软、硬阈值函数折衷去噪法和μ律阈值去噪法相结合对信号进行去噪,改进的去噪方法能够较好的剔除噪声,更好保留有用的信号,提高信号去噪效果。Matlab仿真结果验证了该方法能够比较好的保留原始信号的特性,信号平滑度好,去噪效果显著。According to the shortcomings that wavelet soft threshold de-noising has fixed deviation, hard threshold de-noising is discontinuous and characteristics of power system signal, this paper proposes an improved signal de-noising method. This method uses the “3σrules” to select the threshold, combines soft-hard threshold function compromise de-noising method with μ-threshold method to de-noise the signal. The improved de-noising method can eliminate the noise more efficiently, retains the useful signal better and improves the effect of signal de-noising. The results of MATLAB simulation verify that the method can present the characteristics of the signal better, make the signal smooth and achieves better results.

关 键 词：去噪 3σ规则 软 硬阈值函数折衷法 μ律阈值法 

分 类 号：TM93[电气工程—电力电子与电力传动]