ZHANG An-an, HE Cong, SUN Mao-yi, LI Qian. Partial Discharge Pulse Extraction Algorithm Based on Kurtosis and Time Domain Energy[J]. Journal of University of Electronic Science and Technology of China, 2017, 46(4): 559-564. DOI: 10.3969/j.issn.1001-0548.2017.04.014
Citation: ZHANG An-an, HE Cong, SUN Mao-yi, LI Qian. Partial Discharge Pulse Extraction Algorithm Based on Kurtosis and Time Domain Energy[J]. Journal of University of Electronic Science and Technology of China, 2017, 46(4): 559-564. DOI: 10.3969/j.issn.1001-0548.2017.04.014

Partial Discharge Pulse Extraction Algorithm Based on Kurtosis and Time Domain Energy

  • This paper proposes a power cable partial discharge (PD) pulse extraction method. Firstly, the PD pulse peak is located according to the variation of signal kurtosis, and then according to the signal energy's changing the method of sliding energy search is adopted to calculate and search the edge of PD pulse from the centered PH pulse to the both sides, so as to extract the PD pulse in the noise background accurately. This method can distinguish the full noise signal section from the section that contains partial discharge pulse signal in partial discharge detection signal, and won't be constrained by the number of partial discharge pulses and position of pulse, and also has features of simple step and small amount of calculation. By comparing the simulation experiments of two mainstream power cable PD pulse extraction methods (the wavelet threshold de-noising and the empirical mode decomposition) with the actual experiments, the effectiveness and veracity of this method have been verified.
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