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基于小波包的瞬变信号的提取 被引量:8

Feature signal extraction based on wavelet packet
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摘要 瞬变信号是低压系统中主要的干扰源之一,对系统的危害非常大。因此,必须对它进行提取和分类,了解它的特征。本文提出了基于小波包分解的提取特征信号的方法。采用该方法可以将干扰源的特征信号从检测信号中提取出来,从而对干扰源进行分类。实验证明了该方法的有效性。 Transient signal is one of the main electromagnetic interference source in low\|voltage system, and it is very dangerous to the system and the device. In order to suppress this over\|voltage, it must be distinguished and classified. This paper proposes a wavelet\|based technique to perform a feature extraction from the disturbance signal and a classification of the extraction features in order to identify the possible cause of the disturbance. And an example was given to show the validity of the proposed technique.
机构地区 西安交通大学
出处 《电工电能新技术》 CSCD 2003年第2期43-46,共4页 Advanced Technology of Electrical Engineering and Energy
关键词 低压电力系统 小波包 瞬变信号 电磁干拢 特征信号提取 多分辨分析 wavelet packet decomposition (WPD) electromagnetic interference (EMI) feature signal extraction
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参考文献3

  • 1A M Gaouda, M M A Salama, M K Sultan. Power quality detection and classification using wavelet-multiresolution signal decomposition [J]. IEEE Trans. on PWDR, 1999, 14(4) :1469,1476.
  • 2S G Mallat. A theory for multiresolution signal decomposition: The wavelet representation[J]. IEEE Trans. on Pattern Anal. Machine Intell. 1989, 11(7): 674-693.
  • 3R R Coifman, M V Wickerhauser. Entropy-based algorithms for best basis selection[J]. IEEE Trans. on IT, 1992, 38(2) : 713-718.

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