LI Yi-fan, LIU Jian-xin, WANG Kai-yun, LIN Jian-hui, WANG Chao-feng. Wheel/rail force continuous exporting algorithm of instrumented rail[J]. Journal of Traffic and Transportation Engineering, 2011, 11(4): 36-40. doi: 10.19818/j.cnki.1671-1637.2011.04.006
Citation: LI Yi-fan, LIU Jian-xin, WANG Kai-yun, LIN Jian-hui, WANG Chao-feng. Wheel/rail force continuous exporting algorithm of instrumented rail[J]. Journal of Traffic and Transportation Engineering, 2011, 11(4): 36-40. doi: 10.19818/j.cnki.1671-1637.2011.04.006

Wheel/rail force continuous exporting algorithm of instrumented rail

doi: 10.19818/j.cnki.1671-1637.2011.04.006
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  • Author Bio:

    LI Yi-fan(1985-), male, doctoral student, +86-28-86466142, li_yifan@foxmail

    LIN Jian-hui(1964-), male, professor, +86-28-87600558, linjhyz@126.com

  • Received Date: 2011-03-28
  • Publish Date: 2011-08-25
  • According to wheel/rail interaction characteristics, ground test data were used, and the available data of wheel/rail force were extracted by using threshold value judgmental method. An algorithm based on radial basic function neural network(RBFNN) was designed to deal with the nonlinear relationship of wheel/rail forces at different measure points, and the neural network was trained by lateral and vertical forces at different contact points of different wheels. The wheel/rail force continuous measurement of instrumented rail was achieved, and the simulation experiments under three working conditions were conducted. Analysis result indicates that the accuracy of continuous wheel/rail force when both interference and strain gage damage exist is lower than that when interference or part strain gage damage exists respectively. The algorithm can real-timely process wheel/rail force signal when sampling frequency is less than 8 720. 9 Hz, and has good applicability.

     

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