Journal of Electrical Engineering and Technology

The Korean Institute of Electrical Engineers (대한전기학회)
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Pattern Recognition of Monitored Waveforms from Power Supplies Feeding High-Speed Rail Systems

  • Gu, Wei (School of Electrical Engineering, Southeast University) ;
  • Zhang, Shuai (School of Electrical Engineering, Southeast University) ;
  • Yuan, Xiaodong (Jiangsu Electrical Power Company Research Institute) ;
  • Chen, Bing (Jiangsu Electrical Power Company Research Institute) ;
  • Bai, Jingjing (School of Electrical Engineering, Southeast University)
  • Received : 2014.02.06
  • Accepted : 2015.10.01
  • Published : 2016.01.01
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Abstract

The development of high-speed rail (HSR) has had a major impact on the power supply grid. Based on the monitored waveforms of HSR, a pattern recognition approach is proposed for the first time in this paper to identify the operating conditions. To reduce the data dimensions for monitored waveforms, the principal component analysis (PCA) algorithm was used to extract the characteristics and their waveforms from the monitored waveforms data. The dynamic time wrapping (DTW) algorithm was then used to identify the operating conditions of the HSR. Cases studies show that the proposed approach is effective and feasible, and that it is possible to identify the real-time operating conditions based on the monitored waveforms.

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References

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