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  • 标题:The Detection of Transient Power Disturbances Based on Complex Wavelet Transform
  • 本地全文:下载
  • 作者:Rui Zhang ; Chuan-guang Zhang ; Run-xia Zhu
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2014
  • 卷号:7
  • 期号:2
  • 页码:317-326
  • DOI:10.14257/ijsip.2014.7.2.29
  • 出版社:SERSC
  • 摘要:A detection method for transient power disturbances by complex wavelet transform is proposed in this paper. The core of it is that, the compactly supported dyadic orthogonal linear- phase complex wavelet (CSDOLCW, compactly supported dyadic orthogonal linear- phase complex wavelet) is constructed in terms of lifting scheme. Amplitude feature, phase feature and frequence feature can be obtained by complex wavelet coefficient, which also indicate characteristic of time domain, such as start-end time of disturbances occur, the amplitude of disturbance, and then realizing the correct detection and classification. Simulation results show that complex wavelet transform can distinguish various voltage transient disturbances and reflect disturbance's each characteristic, in the condition of lower SNR, classification results are also acceptable.
  • 关键词:complex wavelet; transient power disturbances; lifting scheme
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