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文章基本信息

  • 标题:The Extraction of Feature Signal of All-electric Ship Electric Power System Based on Wavelet Analysis
  • 本地全文:下载
  • 作者:Bao Yan ; Shi Weifeng ; Zhou Zuohan
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2013
  • 卷号:6
  • 期号:5
  • 页码:447-456
  • 出版社:SERSC
  • 摘要:The unit capacity of propulsion motor is greater than that of generator in all-electric ship electric system, in this high power load changes under the impact of random overload, the generator is extremely easy to have the fault causing system crashes. In this paper, a mathematical model of all-electric ship power system was established, and wavelet analysis was used to extract the feature of heavy load of power grid fault condition based on MATLAB. The simulation results prove that the simulating model of All Electric Ship Power System (AESPS) is reasonable, and by using the method wavelet analysis the feature information can be effectively extracted, which provides the basis for fault diagnosis.
  • 关键词:Electric propelling ship; Power system; Digital simulation; Heavy load; Wavelet transform; Feature extraction
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