De-noising Method of Ultra-high Frequency Partial Discharge Signal Based on Improved Protrugram and Wavelet Transform
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De-noising Method of Ultra-high Frequency Partial Discharge Signal Based on Improved Protrugram and Wavelet Transform
Vol. 44, Issue 11, Pages: 3577-3586(2018)
作者机构:
1. 武汉大学电子信息学院
2. 国网湖北省电力有限公司信息通信公司
作者简介:
基金信息:
DOI:
CLC:
Published Online:22 November 2018,
Published:2018
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DAI Dangdang, WANG Xianpei, LONG Jiachuan, et al. De-noising Method of Ultra-high Frequency Partial Discharge Signal Based on Improved Protrugram and Wavelet Transform[J]. 2018, 44(11): 3577-3586.
DOI:
DAI Dangdang, WANG Xianpei, LONG Jiachuan, et al. De-noising Method of Ultra-high Frequency Partial Discharge Signal Based on Improved Protrugram and Wavelet Transform[J]. 2018, 44(11): 3577-3586.DOI:
De-noising Method of Ultra-high Frequency Partial Discharge Signal Based on Improved Protrugram and Wavelet Transform
In order to simultaneously suppress the periodic narrow-band noise and random white noise in ultra-high frequency(UHF) partial discharge(PD) signal
by analyzing the spectrum characteristics of the UHF PD signal
we have found that the spectrum of PD pulse possesses the characteristics of reaching its maximum value at a certain frequency and decaying gradually toward the edge. The amplitude of the spectrum at its center frequency is significantly higher than that in the side-band section
and it is located at the local maximum point of the UHF signal spectrum. Thus
we proposed a novel method based on the improved Protrugram and wavelet transform to suppress the above noise in UHF PD signal. In the proposed method
firstly
the center frequency of the PD pulse is recognized in frequency domain; then
the corresponding bandwidth of the center frequency is obtained by self-adapting using kurtosis as an indicator
realizing the frequency spectrum locating of PD pulse; finally
the redundant white noise is eliminated using a wavelet de-noising method
realizing the effective suppression of multiple types of noise. The simulation and practical tests show that the proposed method has better performances not only in noise suppression but also in useful signal reserve compared with the traditional wavelet de-noising method and the ensemble empirical mode deposition(EEMD) adaptive threshold method. The research can provide reference for the de-noising of the UHF PD signal.