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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2012  >  12(4): 33-41
LI Zhong-ji, WEI Lai, DAI Huan-yun, CENG Jing, WANG Yi-jia. Identification method of wheel flat based on Hilbert-Huang transform[J]. Journal of Traffic and Transportation Engineering, 2012, 12(4): 33-41. doi: 10.19818/j.cnki.1671-1637.2012.04.005
Citation: LI Zhong-ji, WEI Lai, DAI Huan-yun, CENG Jing, WANG Yi-jia. Identification method of wheel flat based on Hilbert-Huang transform[J]. Journal of Traffic and Transportation Engineering, 2012, 12(4): 33-41. doi: 10.19818/j.cnki.1671-1637.2012.04.005
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Identification method of wheel flat based on Hilbert-Huang transform

doi: 10.19818/j.cnki.1671-1637.2012.04.005

  • State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, Sichuan, China

Funds:

National Key Basic Research and Development Plan of China (973 Program) 20011CB711106

National Key Technology R & D Program in the 11th Five-year Plan of China 2009BAG12A02-E01-1

More Information
  • Author Bio:

    LI Zhong-ji(1983-), Male, Chicheng, Hebei, Doctoral Student of Southwest Jiaotong University, Research on Vehicle Dynamics and Control, +86-28-86466221, tpllzj@gmail.com

    DAI Huan-yun(1966-), Male, Chicheng, Hebei, Professor of Southwest Jiaotong University, PhD, +86-28-86466616, daihuanyun@163.com

  • Received Date: 2012-02-20
  • Publish Date: 2012-08-25
    Abstract
  • Vehicle system dynamics model with 56 degrees of freedom and wheel flat model were set up to compute vehicle dynamic responses.HHT(Hilbert-Huang transform) spectrum characteristics of axle box vibration caused by wheel flat impact were studied by using HHT time-frequency analysis method.HHT spectrum characteristics of axle box vertical accelerations caused by wheel flat and out-of-round were compared.The influences of vehicle running speed and track excitation on HHT spectrum characteristics of axle box vibration caused by wheel flat impact were studied.Analysis result shows that HHT spectrum distribution of axle box acceleration is uniform for healthy wheel, the stripe interval of vertical bar distribution for flat wheel is inversely proportional with the speed, and transverse bar distribution for out-of-round wheel.Therefore, wheel flat can be identified according to HHT spectrum characteristics of axle box acceleration.The lowest distinguishable frequencies are 30, 50, 80 Hz for Beijing-Tianjian Line irregularity, existing line irregularity in China and American three-grade track irregularity respectively.The identification band is 40-100 Hz when the running speed is lower than 150 km·h-1, but it should be widened to 200 Hz when the speed is over 150 km·h-1.

     

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    • References(12)
  • [1]
    WANG Yan-xiao, YANG Zhan-ping. Survey on dynamic inspection method for wheel flat[J]. Rolling Stock, 2002, 40(6): 9-12.
    [2]
    PI Ying, FENG Qi-bo, TENG Yong-ping, et al. Dynamic analysis and computer simulation of a dynamic system for measuring tread flats of train wheels[J]. Journal of Northern Jiaotong University, 2001, 25(3): 73-76.
    [3]
    FENG Qi-bo, ZHAO Yan, CUI Jian-ying. New dynamic method to quantitatively measure wheel flats of trains[J]. Chinese Journal of Mechanical Engineering, 2002, 38(2): 120-122. doi: 10.3901/JME.2002.02.120
    [4]
    AO Yin-hui, XU Xiao-dong, WU Nai-you. Defect detecting of train wheelset tread surface with laser displacement sensor[J]. Journal of Southwest Jiaotong University, 2004, 39(3): 345-348.
    [5]
    LI Jing-quan, LIU Ji. Research and experiment of the method for checking and measuring tread flats of wheels automatically[J]. Journal of Tongji University: Natural Science, 2003, 31(4): 473-476. https://en.cnki.com.cn/Article_en/CJFDTOTAL-TJDZ200304022.htm
    [6]
    GE Lin-fu, YIN Zhi-ben, ZHU Huai-fang. Micro-computer intelligence detection of locomotive wheel tread irregularities[J]. Journal of the China Railway Society, 1993, 15(2): 35-39.
    [7]
    HUANG N E, SHEN Zheng, LONG S R. The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis[J]. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 1998, 454: 903-995. doi: 10.1098/rspa.1998.0193
    [8]
    HUANG N E, SHEN Zheng, LONG S R. A new view of nonlinear water waves: the Hilbert spectrum[J]. Annual Review of Fluid Mechanics, 1999, 31: 417-457. doi: 10.1146/annurev.fluid.31.1.417
    [9]
    YAN Ru-qiang, GAO R X. Hilbert-Huang transform-based vibration signal analysis for machine health monitoring[J]. IEEE Transactions on Instrumentation and Measurement, 2006, 55(6): 2320-2329. doi: 10.1109/TIM.2006.887042
    [10]
    WANG Qi-chang. Analysis of impact influence of wheel tread flat spot on railway track[J]. Journal of Southwest Jiaotong University, 1991, 26(4): 45-48. https://en.cnki.com.cn/Article_en/CJFDTOTAL-XNJT199104006.htm
    [11]
    CLARK R A, DEAN P A, ELKINS J A, et al. An investi-gation into the dynamic effects on the track of wheel flats onrailway vehicles[J]. Journal of Mechanical EngineeringScience, 1979, 21(4): 287-297. doi: 10.1243/JMES_JOUR_1979_021_046_02
    [12]
    LIU Jian-xin, YI Ming-hui, WANG Kai-yun. Characteristic of dynamic interaction between wheel and rail due to wheel tread flat on heavy haul railway[J]. Journal of Traffic and Transportation Engineering, 2010, 10(4): 52-56.
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