一种检测局部放电信号的新方法

doi:10.3969/j.issn.1001-2400.2010.03.026

J4 ›› 2010, Vol. 37 ›› Issue (3): 529-533+569.doi: 10.3969/j.issn.1001-2400.2010.03.026

一种检测局部放电信号的新方法

李亚峰^1,2;王保保³;冯象初¹

(1. 西安电子科技大学理学院，陕西西安 710071;
2. 宝鸡文理学院计算机科学系，陕西宝鸡 721007;
3. 西安电子科技大学计算机学院，陕西西安 710071)

收稿日期:2009-01-12 出版日期:2010-06-20 发布日期:2010-07-23
通讯作者: 李亚峰
作者简介:李亚峰(1977-)，男，西安电子科技大学博士研究生，E-mail: liyafeng770729@126.com．
基金资助:
国家自然科学基金资助项目(60872138);宝鸡文理学院2009年院级科研重点资助项目(2K09172)

New method for partial discharge signals detection

LI Ya-feng^1,2;WANG Bao-bao³;FENG Xiang-chu¹

(1. School of Science, Xidian Univ., Xi'an 710071， China;
2. Dept. of Computer Science, Baoji Univ. of Arts and Sci., Baoji 721007，China;
3. School of Computer Science and Technology, Xidian Univ., Xi'an 710071， China)

Received:2009-01-12 Online:2010-06-20 Published:2010-07-23
Contact: LI Ya-feng

摘要/Abstract

摘要：

为了提取局部放电信号，提出一种基于各向异性扩散的局部放电噪声抑制方法．根据局部放电信号的特点构造了新的扩散函数，比经典的扩散函数更能有效地抑制白噪声和窄带干扰，并且保持相同的运算速度．相比于常规的小波去噪方法，该方法不受小波函数和小波分解层数选取的限制，能直接应用于空域，更加简单、有效．

关键词: P-M模型, 扩散, 局部放电, 噪声抑制

Abstract:

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.

Key words: P-M model, diffusion, partial discharge (PD), noise reduction

李亚峰;王保保;冯象初. 一种检测局部放电信号的新方法[J]. J4, 2010, 37(3): 529-533+569.

LI Ya-feng;WANG Bao-bao;FENG Xiang-chu. New method for partial discharge signals detection[J]. J4, 2010, 37(3): 529-533+569.

参考文献

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一种检测局部放电信号的新方法

New method for partial discharge signals detection

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