LIU Ruo-chen, ZUO Hong-fu, SUN Jian-zhong, LI Xin, MAO Hui-jie. Electrostatic monitoring of vehicle gearbox[J]. Journal of Traffic and Transportation Engineering, 2015, 15(1): 50-57. doi: 10.19818/j.cnki.1671-1637.2015.01.007
Citation: LIU Ruo-chen, ZUO Hong-fu, SUN Jian-zhong, LI Xin, MAO Hui-jie. Electrostatic monitoring of vehicle gearbox[J]. Journal of Traffic and Transportation Engineering, 2015, 15(1): 50-57. doi: 10.19818/j.cnki.1671-1637.2015.01.007

Electrostatic monitoring of vehicle gearbox

doi: 10.19818/j.cnki.1671-1637.2015.01.007
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  • Author Bio:

    LIU Ruo-chen(1989-), male, doctoral student, + 86-25-84895772, liuruochen_nuaa@163.com

    ZUO Hongfu(1959-), male, professor, PhD, + 86-25-84891097, rms@nuaa.edu.cn

  • Received Date: 2014-08-12
  • Publish Date: 2015-02-25
  • Based on the electrostatic induction principle of wear site, the wear-site electrostatic sensors of gear and bearing for railway vehicle were designed.At 160km·h-1, the root mean square(RMS)of time-domain electrostatic signal for gearbox was extracted as the feature parameter, the influences of different speeds and torques on the electrostatic levels were investigated at noise test stage, and the change trends of electrostatic signals were analyzed at run-up test stage and load fatigue test stage.Study result indicates that the electrostatic signals of gear and bearing remain stable under the same condition, and the former always be slightly higher than the latter.When speed and torque increase, the electrostatic amplitude increases, speed effect on the electrostatic level is larger than torque effect, while the directions of speed and torque have little influence on the signal.The electrostatic signals decrease significantly at run-up test stage and come to stable in the last.The signals remain basically stable and rise very slow at load fatigue test stage.The changing trends of gearbox electrostatic signals are consistent with the theoretical analysis result and the actual test result, so the electrostatic monitoring method is a new technology, can be used for the online monitoring of gearbox state for railway vehicle, and provides the basis for the fault diagnosis and life prediction of further gearbox.

     

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