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.
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2018, Vol. 33 
