• DocumentCode
    154670
  • Title

    A wheel slip detection method of electric locomotive based on time-frequency analysis

  • Author

    Jingchun Huang ; Jian Xiao ; Dan Zhao ; Song Wang

  • Author_Institution
    South-West JIAOTONG Univ., Chengdu, China
  • fYear
    2014
  • fDate
    8-11 Oct. 2014
  • Firstpage
    1221
  • Lastpage
    1225
  • Abstract
    Rapid and effective identification of wheel slip plays an important significance to improve traction force of electric locomotive. A novel detection method of wheel slip was studied in this paper. Firstly, the Hilbert energy spectrum of wheel speed was calculated with the Hilbert-Huang Transform method. The tendency of wheel slip was obtained with the energy spectrum change. Then the acceleration was calculated after filtering the wheel speed data. The wheel slip was detected using the tendency of wheel slip and acceleration combined with the analysis of time domain and frequency domain. Finally, a water spring wheel-slip test was conducted with a HXD2C-type electric locomotive to verify the effectiveness of the detection method.
  • Keywords
    Hilbert transforms; electric locomotives; time-frequency analysis; HXD2C-type electric locomotive; Hilbert energy spectrum; Hilbert-Huang Transform method; energy spectrum; time domain; time-frequency analysis; traction force improve; wheel slip detection method; wheel speed; wheel speed data; Conferences; Intelligent transportation systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
  • Conference_Location
    Qingdao
  • Type

    conf

  • DOI
    10.1109/ITSC.2014.6957854
  • Filename
    6957854