摘要
根据局部放电（ＰＤ）信号的非平稳统计特性，提出了一种用于抑制窄带干扰和测试设备产生的随机性干扰的新方法。该方法将多分辨分析和硬阈值结合起来构成一种基于小波变换的平稳非平稳滤波器（ ＷＴＳＴＮＳＴ），用于提取局部放电信号。实验结果表明，该方法能有效地实现局部放电信号和噪声信号的分离，并具有计算时间短、提取出的ＰＤ信号波形畸变小等优点，能用于局部放电的在线检测中。
Partial Discharge(PD) on line monitoring has been extensively used for evaluation of the insulation condition of electrical equipment in service. However, its sensitivity and reliability are affected by strong noises, such as communication signals and random noises produced by detection system itself. In this paper, a novel method for suppressing stationary noises is presented based on the nonstationary of PD. The proposed algorithm combines multiresolution analysis with hard threshold in order to construct a wavelet transform based stationary nonstationary filter (WTST NST). The experimental results indicate that this method can extract the PD signal from noises effectively. Compared to other methods adopted to extract PD signals, WTST NST filter performs more accurately and with less computation time. It has been used in PD on line monitoring system successfully.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2000年第1期37-40,共4页
Proceedings of the CSEE
基金
国家自然科学基金!(59837260)
关键词
局部放电
在线监测
滤波器
小波变换
高电压
partial discharge
on line monitoring
wavelet transform
WTST NST filter
