融合形态学-复小波变换的PD干扰信号抑制方法  被引量:4

PD interference signal suppression method based on fusing morphology-complex wavelet transform

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作  者:王有元[1] 张大伟[1] 陆国俊 黄炎光 

机构地区:[1]重庆大学输配电装备及系统安全与新技术国家重点实验室,重庆400030 [2]广州供电局有限公司电力试验研究院,广州510410

出  处:《仪器仪表学报》2013年第3期707-713,共7页Chinese Journal of Scientific Instrument

基  金:国家自然科学基金创新研究群体科学基金(51021005)资助项目

摘  要:针对局部放电检测过程中周期性窄带干扰和白噪声难以抑制的问题,提出了一种融合数学形态学与复小波变换的干扰信号抑制方法。该方法基于数学形态学原理构造广义形态学滤波器,并将其作为前置滤波单元,实现原始信号的预处理,再对处理后的信号进行复小波变换,最终得到去噪后的局部放电信号。应用该方法对模拟和现场采集的局部放电信号进行去噪处理,结果表明:该方法能够有效地抑制局部放电信号中的周期性窄带干扰和白噪声干扰;与相同小波基的小波去噪方法和复小波去噪方法相比,该方法去噪时的能量损失较小,能够很好地保留局部放电信号特征。Aiming at the problem that it is difficult to suppress the periodic narrowband interference and white noise in Partial Discharge (PD) monitoring, an interference signal suppression method based on fusing mathematic morphological filtering and complex wavelet transform is proposed in this paper. Based on the principle of mathematical morphology, the method constructs generalized morphological filter, which is used as the pre-filtering unit to realize the preproeessing of the original PD signals. The complex wavelet transform is used to process the output signals of the pre-filtering unit, and finally the denoised PD signals are obtained. The proposed method was applied to denoise the simulation PD signals and field acquired PD signals. The results show that the proposed method can suppress the periodic narrowband interference and white noise in PD signals, effectively. Compared with the wavelet denoising method with the same wavelet basis and the complex wavelet denoising method, the proposed method can decrease energy loss and retain PD signal characteristics better.

关 键 词:局部放电 窄带干扰 白噪声 数学形态学 复小波变换 抑制方法 

分 类 号:TM85[电气工程—高电压与绝缘技术] TH73[机械工程—仪器科学与技术]

 

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