基于单通道盲源分离算法的局部放电特高频信号去噪方法

doi:10.19595/j.cnki.1000-6753.tces.180016

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Abstract In order to effectively suppress the periodical narrowband and Gaussian white noise interference in the background noise of field test partial discharge (PD) ultra-high frequency (UHF) signal, a de-noising method based on single-channel blind source separation algorithm is proposed. Firstly, the PD UHF signal is time-frequency joint analyzed for obtaining the number of source signals. Secondly, by the singular value decomposition of PD signal, the calculated reconstructing singular value sub-matrices are recombine as multiple channel signals. Then, the backgrounds noises are separate multiple channel PD UHF signals by the joint approximate diagonalization of eigen-matrics blind source separation algorithm. At last, the source PD signal is estimated by the l₁-norm minimization method, and the de-noised PD UHF signal is obtained. The de-noising method presented in this paper was applied on the laboratory and field measured signals, and the de-noising results were compared with other existing de-noising methods. The results show that the proposed de-noising method can suppress periodical narrowband and Gaussian white noise interference better compared with existing method. In addition, the de-noising PD UHF signal waveform is distorted unapparent.

Key words： Partial discharge de-noising blind source separation singular value decomposition joint approximate diagonalization of eigen-matrics l₁-norm minimization

Received: 04 January 2018 Published: 17 December 2018

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TM855

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	Liu Yushun
	Cheng Dengfeng
	Xia Lingzhi
	Li Senlin
	Cheng Yang

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Liu Yushun,Cheng Dengfeng,Xia Lingzhi等. Partial Discharge Ultra-High Frequency Signal De-Noising Method Based on Single-Channel Blind Source Separation Algorithm[J]. Transactions of China Electrotechnical Society, 2018, 33(23): 5625-5636.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.180016 OR https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I23/5625

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