變壓器局部放電監測中的最優小波與脈沖鑒別去噪方法研究-變壓器及配套-下載中心-變壓器市場網
 
       
 
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變壓器局部放電監測中的最優小波與脈沖鑒別去噪方法研究

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    文中提出一種用于變壓器局部放電在線監測信號的去噪方法,該方法基于尺度相關的最優小波分解去噪算法和脈沖序列分析算法。通過雙電流傳感器分別耦合流過每一相高壓套管和高壓套管末屏接地線的脈沖電流,首先采用逐層最優小波分解算法有效地抑制白噪聲且減小對脈沖波形造成的畸變,再利用脈沖序列分析算法分析雙傳感器輸出的脈沖序列,達到去除脈沖干擾的目的。實驗結果表明,該方法能夠鑒別出外部的脈沖干擾,有效地提取出變壓器內部的局部放電信號,具有很好的應用價值。

    
A de-noising method is presented for partial discharge(PD) online monitoring of transformers on the basis of an improved wavelet de-noising approach and a pulse-sequence analysis method. Dual couplers are used for detecting the PD pulse current flowing through the high voltage bushing of each phase and the grounding wire connected with the measurement terminal of the high voltage bushing. The white noise can be suppressed by the improved wavelet approach while the extracted pulses have small distortion. The extracted pulse sequences of each coupler from white noise contain the PD pulses and pulse-shaped noises. To separate the PD pulses from noisy pulses, the pulse-sequence analysis on the relationship between two pulse-sequences from the dual couplers is performed. The experimental signal processing results show that the measured partial discharges inside the transformers can be separated from white noise and partial discharges occurring on the conductors connected with the high voltage bushings.

《高壓電器》[ISSN:1001-1609/CN:61-11271/TM]

 
 
 
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