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

• Original Articles • Previous Articles     Next Articles

New method for partial discharge signals detection

LI Ya-feng1,2;WANG Bao-bao3;FENG Xiang-chu1   

  1. (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 E-mail:liyafeng770729@126.com

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