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  • 标题:Marine Current Turbine Imbalance Fault Detection Method Based on Angular Resampling
  • 本地全文:下载
  • 作者:Tao Xie ; Tianzhen Wang ; Demba Diallo
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:12074-12079
  • DOI:10.1016/j.ifacol.2020.12.756
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractMarine current power generation is increasingly attracting worldwide attention. However, mechanical imbalance fault often occurring when MCT blades are biofouled or corroded. This is a challenging problem due to the varying shaft rotating frequency (SRF) generate by the variable current flow. To deal with the imbalance fault, an angular resampling method based on the instantaneous power signal is proposed. This method monitors the output power of a variable-speed MCT generator and first processes the data using an angular resampling algorithm is to obtain a stationary signal. In the second step, a low-pass filter removes high frequencies and extract the fault characteristic. The simulation and the experiments verify the effectiveness of the proposed method for the MCT imbalance faults. The comparison with the motor current or voltage signature analysis has shown its superiority in terms of sensitivity to fault severity.
  • 关键词:KeywordsMarine current turbine (MCT)imbalance fault detectionpower signalangular resampling
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