Title :
Medium voltage cable partial discharge signals denoising by Second Generation Wavelet Packet Transform
Author :
Ming Tang ; Hongjie Li ; Xiang Liu ; Deliang Liang
Author_Institution :
State Key Lab. of Electr. Insulation & Power Equip., Xi´an Jiaotong Univ., Xi´an, China
Abstract :
On-line partial discharge (PD) measurements taken from distribution cable network are corrupted by noise due to electromagnetic interference. This paper presents application of Second Generation Wavelet Packet Transform (SGWPT), as an improved algorithm of Second Generation Wavelet Transform (SGWT), to extraction of PD pulse from background noise. Firstly, the SGWPT is constructed on the basis of SGWT. Secondly, comparative study of the Shannon entropy and threshold entropy criterion to select the best tree is conducted, and the investigation results show that threshold entropy criterion yields better signal-to-noise ratio (SNR). Finally, the algorithm is applied to PD signals corrupted by white noise. Results confirm that SGWPT can improve the effectiveness of PD de-noising.
Keywords :
AWGN; distribution networks; entropy; partial discharges; signal denoising; wavelet transforms; PD denoising; PD pulse; SGWPT; SGWT; Shannon entropy criterion; background noise; distribution cable network; electromagnetic interference; meduim voltage cable; online PD measurements; online partial discharge measurements; partial discharge signal denoising; second generation wavelet packet transform; second generation wavelet transform; threshold entropy criterion; white noise; Entropy; Noise reduction; Partial discharges; Power cables; Signal to noise ratio; Wavelet packets; distribution cable network; entropy criterion; partial discharge; signal-to-noise ratio; wavelet packets;
Conference_Titel :
Information and Automation (ICIA), 2013 IEEE International Conference on
Conference_Location :
Yinchuan
DOI :
10.1109/ICInfA.2013.6720459
