New method for partial discharge signals detection

被引：0
|
作者：
Li Y.-F. [1 ,2 ]
Wang B.-B. [3 ]
Feng X.-C. [1 ]
机构：
[1] School of Science, Xidian Univ.
[2] Dept. of Computer Science, Baoji Univ. of Arts and Sci.
[3] School of Computer Science and Technology, Xidian Univ.
来源：
Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2010年 / 37卷 / 03期
关键词：
Diffusion; Noise reduction; P-M model; Partial discharge (PD);
D O I：
10.3969/j.issn.1001-2400.2010.03.026
中图分类号：
学科分类号：
摘要：
In order to extract partial discharge signals(PD), this paper proposes a new method based on anisotropic diffusion. According to the characteristics of partial discharge signals, a new diffusion function is constructed. Compared with the classical diffusion functions, using the proposed diffusion function can eliminate the noise more effectively, and maintain the same computing speed. Compared with the conventional wavelet based denoising algorithms, the proposed method is not limited by the selection of the wavelet function and the optimal decomposition level of wavelet. And our method is directly implemented in the spatial domain, which makes the filter process simpler.
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页码：529 / 533+569
相关论文
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