Abstract：In order to accurately extract partial discharge(PD), this paper proposes a reverse separation method of suppressing periodic narrowband noise in PD Signal. The method consists of two parts: It estimates the frequency of periodic narrowband noise using the matrix pencil algorithm; and it reverse separates the PD Signal after de-noising periodic narrowband noise with the help of ICA algorithm. Under different signal to noise ratio(SNR), it respectively uses wavelet and multi-wavelet and the method for suppressing periodic narrowband noise. Simulation results show that comparing with the wavelet and multi-wavelet algorithm, it displays the stronger anti-noise ability and better preserves the features of signal when SNR is -20 dB. The proceeding result signal from field test proves its effectiveness too.
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2015, Vol. 30 
