Wavelet-based de-noising for PD online measurement of transformers

被引：0
|
作者：
Li, J [1 ]
Wang, YY [1 ]
Du, L [1 ]
Jin, ZR [1 ]
Yang, Y [1 ]
机构：
[1] Chongqing Univ, Minist Educ, Key Lab High Voltage Engn & Elect New Technol, Chongqing 400044, Peoples R China
来源：
CONFERENCE RECORD OF THE 2004 IEEE INTERNATIONAL SYMPOSIUM ON ELECTRICAL INSULATION | 2004年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The method based on thresholding and shrinking empirical wavelet coefficients is introduced in this paper for de-noising PD signals. Because the wavelet-based de-noising can not give a satisfied results while PD pulse amplitude is the same as or less than that of discrete spectral interferences (DSI), the wavelet combined with 2nd order lattice infinite impulse response (IIR) notch filter is proposed to enhance the signal-to-noise ratio (SNR) of signal detected by PD online measurement system of transformers. We present the results from simulations and real data examples.
引用
收藏
页码：54 / 57
页数：4
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