高电压技术2017，Vol.43Issue(4)：1378-1385,8.DOI:10.13336/j.1003-6520.hve.20170328039
FFT谱最小熵解卷积滤波抑制放电信号中的周期性窄带干扰
Suppression of the Periodic Narrow-band Noise in Discharge Signal by FFT Spectrum Minimum Entropy Deconvolution Filtering
摘要
Abstract
We propose a new technique with FFT spectrum minimum entropy deconvolution filtering to suppress the periodic narrow-band noise mixed in discharge signal.The principle is the narrow-band noise component will be treated as a new useful signal and the real pure discharge signal as a new noise in frequency domain.In frequency domain,the discharge signal component will be rejected and the narrow-band noise will be kept by minimum entropy deconvolution filtering.The remained noise will be suppressed in the FFT spectrum of the mixed discharge signal,and the pure discharge signal is obtained by IFFT process.The simulation and the experiment results indicate that the proposed method can accurately suppress the periodic narrow-band noise.Compared with the conventional energy ratio method based on FFT,the frequency window to compute the energy ratio is not necessary in this method,and the noise can be suppressed well just by classical threshold value criterion.The method offers a new effective technique for the periodic narrow-band noise suppression when detecting the discharge signals.关键词
放电信号/最小熵/周期性窄带干扰/峭度/能量比/经典阈值准则Key words
discharge signal/minimum entropy/periodic narrow-band noise/Kurtosis/energy ratio/classical threshold value criterion引用本文复制引用
樊高辉,刘尚合,刘卫东,王雷..FFT谱最小熵解卷积滤波抑制放电信号中的周期性窄带干扰[J].高电压技术,2017,43(4):1378-1385,8.基金项目
国家自然科学基金(61172035).Project supported by National Natural Science Foundation of China (61172035). （61172035）
