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  • 标题:Voltage Sags Detection Based on Hilbert-Huang Transform
  • 本地全文:下载
  • 作者:Tao Zhang ; Rui Zhang ; Tian-bo Wang
  • 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:3
  • 页码:91-98
  • DOI:10.14257/ijsip.2014.7.3.09
  • 出版社:SERSC
  • 摘要:Voltage sag is a prominent problem in power quality. It is key to identify voltage sag exactly for choosing scheme of managing power quality. Hilbert-Huang transform (HHT) is applied for the voltage sag recognize. Using the empirical mode decomposition (EMD) for voltage sag, the intrinsic mode function (IMF) can be obtained, then perform the Hilbert transform in each IMF, after that the instantaneous frequency spectrum can be obtained. And then determine start and end. Simulation results show the method has better effect on detecting voltage sag.
  • 关键词:Voltage Sags; Hilbert-Huang transform; EMD
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