| Application of Wavelet Denoising in Partial Discharge Online Monitoring of Transformer |
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| 作者姓名： | YANG Ji LI Jian WANG You-yuan TANG Ju SUN Cai-xinUnder the State Ministry of Education Chongqing University Chongqing Chin |
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| 摘 要： | Because of the strong interferences, such as discrete spectrum interferences (DSI), white noise and pulse-shaped interferences, it is still a difficult work to extract the partial discharge (PD) signal for transformer online monitoring techniques. Through deeply study on the automatic selection of threshold value and mother wavelet, the wavelet-based de-noising method for partial discharge signals is proposed. The analyzing results on simulation signal and field-measured signal indicate that the proposed method is fit for de-noising white noise but for DSI the comparably worse de-noising results is acquired. Hence it is predicted that good de-noising results will be achieved with the wavelet-based de-noising method combined with digital filtering method fitting for de-noising DSI.
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| 关 键 词： | partial discharge wavelet-based de-noising online monitoring transformer |
| 修稿时间： | 2004/6/20 0:00:00 |
Application of Wavelet Denoising in Partial Discharge Online Monitoring of Transformer |
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| YANG Ji,LI Jian,WANG You-yuan,TANG Ju,SUN Cai-xinUnder the State Ministry of Education,Chongqing University,Chongqing,Chin.Application of Wavelet Denoising in Partial Discharge Online Monitoring of Transformer[J].Storage & Process,2004(10):67-70. |
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| Authors: | YANG Ji LI Jian WANG You-yuan TANG Ju SUN Cai-xinUnder the State Ministry of Education Chongqing University Chongqing China |
| |
| Abstract: | Because of the strong interferences, such as discrete spectrum interferences (DSI), white noise and pulse-shaped interferences, it is still a difficult work to extract the partial discharge (PD) signal for transformer online monitoring techniques. Through deeply study on the automatic selection of threshold value and mother wavelet, the wavelet-based de-noising method for partial discharge signals is proposed. The analyzing results on simulation signal and field-measured signal indicate that the proposed method is fit for de-noising white noise but for DSI the comparably worse de-noising results is acquired. Hence it is predicted that good de-noising results will be achieved with the wavelet-based de-noising method combined with digital filtering method fitting for de-noising DSI. |
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| Keywords: | partial discharge wavelet-based de-noising online monitoring transformer |
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