Title :
Wavelet-based denoising for PD online measurement of transformers
Author :
Li, Jian ; Wang, Youyuan ; Du, Lin ; Jin, Zhuorui ; Yang, Yang
Author_Institution :
Key Lab. of High Voltage Eng. & Electr. New Technol., Chongqing Univ., China
Abstract :
The method based on thresholding and shrinking empirical wavelet coefficients is introduced in this paper for denoising PD signals. Because the wavelet-based denoising 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.
Keywords :
IIR filters; notch filters; partial discharge measurement; power transformers; signal detection; wavelet transforms; IIR notch filter; PD online measurement; PD pulse amplitude; PD signals; SNR; discrete spectral interferences; infinite impulse response; partial discharge; second order lattice; shrinking empirical wavelet coefficient; signal detection; signal-to-noise ratio; thresholding coefficients; transformers; wavelet-based denoising; Discrete wavelet transforms; IIR filters; Interference; Lattices; Noise reduction; Pulse measurements; Pulse transformers; Signal detection; Signal to noise ratio; Wavelet coefficients;
Conference_Titel :
Electrical Insulation, 2004. Conference Record of the 2004 IEEE International Symposium on
Print_ISBN :
0-7803-8447-4
DOI :
10.1109/ELINSL.2004.1380446
