Suppressing PD’s Narrow Band Noise in the PD Monitoring Frequency Band Using Complex Wavelet Packet Transform

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By combining the method of construct wavelet packet and complex wavelets, complex wavelets packet is constructed with the same amplitude-frequency characteristics of corresponding real wavelet packet and the same phase spectrum of corresponding complex wavelets, and then give the specific method of constructing complex wavelets packet, evaluate the effect of original PD simulative signals direct reconstruction after decomposition by using Normalized Correlation Coefficient (NCC) and Variational Trend Parameter (VTP) also and the relative error of the amplitude, verify the capability of restore Non-stationary Oscillating Partial Discharge Signals effectively and the correctness of the complex wavelets packets construction. At last, complex wavelets packet is used to denoise PD admixture simulative and measured signals with different frequency and strength noises, overcome the difficults of more loss using hardware filter and bad effect using wavelets packet transformation when narrow band noise in the monitoring frequency band.

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352-357

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February 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Tang Ju, Xie Yanbin. Suppression of Narrowband Interference with EWC Threshold Method for Complex Wavelet Transform [J]. Automation of Electric Power Systems, 2005, 29(7): 1-5(in Chinese).

Google Scholar

[2] Bi Weimin, Tangju. Simulation and Experiment Study on Wavelet Packet Decomposition Based on Entropy Threshold for Dsi-rejection of PD. 2003, 23(3) : 128~131.

Google Scholar

[3] Tang Ju. Study on Outer Sensor and Complex Wavelet Suppression Interference in PD Detecting of Switchgear, Doctoral Dissertation [D]. Ph.D. Dissertation of Chongqing University, 2004. 6(in Chinese).

Google Scholar

[4] Tang Ju, Xie Yanbin, Zhu Wei, Wei Gang. Construction of the Orthogonal Support Complex Wavelet for Distilling Partial Discharge Signals in GIS [J]. Transactions of China Electrotechnical Society, 2006, 21(5): 87-91(in Chinese).

Google Scholar

[5] Chen Xiangxun. Complex Compactly-Supported Orthonormal Wavelets and Their Applications in Power System [J] . Proceedings of the CSEE, 2000, 20(7): 83-88(in Chinese).

DOI: 10.1109/cpem.2000.850868

Google Scholar

[6] Li Fengmin, Hilbert transformation and its application. China Radio, 2006. No. 7: 53-54.

Google Scholar

[7] Tang Ju, Xu Zhong-rong, Sun Cai-xin, Xie Yan-bin, Zhou Qian. Application of Complex Wavelet Transform to Suppress White-noise Interference in GIS PD Signal[J]. Proceedings of the CSEE, 2005, 25(8): 30-34(in Chinese).

Google Scholar

[8] Stéphane Mallat, Yang Lihua, Dai Daoqing translated. Wavelet signal processing guidance., Beijing: Mechanical Industry Press, (2002).

Google Scholar

[9] [America] L. Cohen book, Baiju Xian translation. Time-frequency analysis: theory and application. " Xi'an: Xi, an Jiaotong University Press, 2000. 10.

Google Scholar

[10] Tang Ju, Peng Li, XIE Yan-bin. An Algorithm of Complex Multilevel Threshold for Reducing White-noise. 2006, 26: 1~6(in Chinese).

Google Scholar