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.
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变压器局部放电监测中的最优小波与脉冲鉴别去噪方法研究
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详细介绍
文中提出一种用于变压器局部放电在线监测信号的去噪方法，该方法基于尺度相关的最优小波分解去噪算法和脉冲序列分析算法。通过双电流传感器分别耦合流过每一相高压套管和高压套管末屏接地线的脉冲电流，首先采用逐层最优小波分解算法有效地抑制白噪声且减小对脉冲波形造成的畸变，再利用脉冲序列分析算法分析双传感器输出的脉冲序列，达到去除脉冲干扰的目的。实验结果表明，该方法能够鉴别出外部的脉冲干扰，有效地提取出变压器内部的局部放电信号，具有很好的应用价值。
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.
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.
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