Mixed Noises Suppression of Partial Discharge Signal Employing Short-Time Singular Value Decomposition
Zhou Kai1, Huang Yonglu1, Xie Min1, He Min2, Zhao Shilin3
1. School of Electrical Engineering and Information Sichuan University Chengdu 610065 China; 2. Electric Power Research Institute Chongqing Electric Power Company Chongqing 401123 China; 3. Skill Training Centre Sichuan Electric Power Company Chengdu 611133 China
Abstract：Partial discharge (PD) detection for cable termination is a useful method in cable termination diagnosis. To suppress mixed noises in partial discharge signals and preserve more features, a mixed noises suppression method based on short-time singular value decomposition (STSVD) is proposed. Firstly, the singular value decomposition (SVD) is performed on the noisy PD segment obtained by a sliding window along the time axis of analyzed PD signal, and then the mixed noises are eliminated by periodic narrowband noise reconstruction and optimal singular value threshold. The proposed method has been examined on simulated, laboratory obtained and field-detected noisy PD signals, and its results have been compared with adaptive singular value decomposition (ASVD) de-noised results and morphology-wavelet filter (MWF) de-noised results. The results show that: compared with ASVD and MWF de-noising method, the proposed method has better performance, and this method can improve the execution efficiency obviously compared with ASVD when the analyzed data is large, which shows the good application value in practical PD detection.
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2019, Vol. 34 
