Torsional Vibration as a Method of Diagnostic Tool for Wheel Flatness

Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)


Wheel flat frequently occur during the operation of high-speed train, which will deteriorate the vibration condition of the components of vehicle and track system. Besides, it is likely to threaten the running safety of high-speed train. Hence, deep insight into the fault features of the wheel flat is urgently necessary for prevention of the induced disastrous consequences. This paper aims to investigate the effectiveness of using the torsional vibration signal as a diagnostic tool for wheel flatness of high-speed train. The vehicle-track spatial coupled dynamics model considering the dynamic effects of traction transmission system is employed. The nonlinear factors, such as time-varying mesh stiffness, fraction forces, gear backlash, track geometry irregularities and wheel-rail interactions, are considered in detail. Besides, the wheel flat model is incorporated into the dynamics model to obtain the vibration responses. Some signal processing techniques were utilized to analysis the fault diagnostic results from the torsional vibration. It was found that the torsional vibration of traction transmission system successfully detected the wheel flat. As a result, the torsional vibration can be considered an effective approach for wheel flat condition monitoring.


Torsional vibration Wheel flat Gear transmission system High-speed train 


  1. 1.
    Iwnicki, S.: Handbook of Railway Vehicle Dynamics. CRC Press, Boca Raton (2006)CrossRefGoogle Scholar
  2. 2.
    Liang, B., Iwnicki, S.D., Zhao, Y., et al.: Railway wheel-flat and rail surface defect modelling and analysis by time–frequency techniques. Veh. Syst. Dyn. 51, 1403–1421 (2013)CrossRefGoogle Scholar
  3. 3.
    Molodova, M., Li, Z., Dollevoet, R.: Axle box acceleration: measurement and simulation for detection of short track defects. Wear 271(1–2), 349–356 (2011)CrossRefGoogle Scholar
  4. 4.
    Jia, S., Dhanasekar, M.: Detection of rail wheel flats using wavelet approaches. Struct. Health Monit. 6(2), 121–131 (2007)CrossRefGoogle Scholar
  5. 5.
    Wang, Z., Zhang, W., Yin, Z., et al.: Effect of vehicle vibration environment of high-speed train on dynamic performance of axle box bearing. Veh. Syst. Dyn. 57(4), 543–563 (2019)CrossRefGoogle Scholar
  6. 6.
    Wang, Z., Mei, G., Xiong, Q., et al.: Motor car–track spatial coupled dynamics model of a high-speed train with traction transmission systems. Mech. Mach. Theory 137, 386–403 (2019)CrossRefGoogle Scholar
  7. 7.
    Wang, Z., Allen, P., Mei, G., et al.: Influence of wheel-polygonal wear on the dynamic forces within the axle-box bearing of a high-speed train. Veh. Syst. Dyn. (2019). Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.State Key Laboratory of Traction PowerSouthwest Jiaotong UniversityChengduChina
  2. 2.Insititute of Railway ResearchUniversity of HuddersfieldHuddersfieldUK
  3. 3.CRRC Institute Co. Ltd.BeijingChina

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