复小波提取强电磁干扰环境中的局部放电信号方法  

Study on the New Technology of Extracting PD in Strong Noise Environment With Complex Wavelet

作　　者：崔雪梅[1] 孙才新[1] 李剑[1] 胡建林[1] 

机构地区：[1]重庆大学高电压与电工新技术教育部重点实验室

出　　处：《重庆大学学报（自然科学版）》2003年第10期84-86,92,共4页Journal of Chongqing University

摘　　要：在现有文献研究结果的基础上,系统地分析了局部放电信号与电磁干扰的相位信息特征,通过对实小波与复小波消除电磁噪声干扰的机理研究,发现复小波可将局放信号特征更好地从强干扰中提取出来。研究结果表明:研究局部放电在线监测时,采用复小波的分析方法能够更全面、更详细地获得原信号特征信息,实测数据证实复小波比实小波分析效果更好。Based on existing research, this paper analyzes and compares the phase information characters between partial discharge signal (PD) and its disturbance, and also extracts the feature of Partial Discharge with complex wavelets in noise environment. The research demonstrates that complex wavelets are more superior to original real wavelets in identifying Partial Discharge signal, and those simulated applications and the datum from laboratory can guarantee the effectiveness of the extraction of the feature of Partial Discharge and the restraint of the strong electromagnetic disturbance.

关 键 词：复小波 局部放电 在线监测 电磁干扰 

分 类 号：TM835[电气工程—高电压与绝缘技术]