Dynamic investigation of traction motor bearing in a locomotive under excitation from track random geometry irregularity

References

• Nandi S, Toliyat HA, Li X. Condition monitoring and fault diagnosis of electrical motors—a review. IEEE Trans Energy Convers. 2005;20(4):719–729.
   Web of Science ®Google Scholar
• Jones AB. A general theory for elastically constrained ball and radial roller bearings under arbitrary load and speed conditions. J Basic Eng. 1960;82(2):309–320.
   Google Scholar
• Harris TA. An analytical method to predict skidding in thrust-loaded, angular-contact ball bearings. J Lubr Technol. 1971;93(1):17–23.
   Google Scholar
• Walters CT. The dynamics of ball bearings. J Tribol. 1970;93(1):1–10.
   Google Scholar
• Bai C, Xu Q. Dynamic model of ball bearings with internal clearance and waviness. J Sound Vib. 2006;294(1–2):23–48.
   Web of Science ®Google Scholar
• Guo Y, Parker RG. Stiffness matrix calculation of rolling element bearings using a finite element/contact mechanics model. Mech Mach Theory. 2012;51:32–45.
   Web of Science ®Google Scholar
• Liu J, Shao Y. Dynamic modeling for rigid rotor bearing systems with a localized defect considering additional deformations at the sharp edges. J Sound Vib. 2017;398:84–102.
   Web of Science ®Google Scholar
• Liu J, Wu H, Shao Y. A theoretical study on vibrations of a ball bearing caused by a dent on the races. Eng Fail Anal. 2018;83:220–229.
   Web of Science ®Google Scholar
• Liu Y, Chen Z, Tang L, et al. Skidding dynamic performance of rolling bearing with cage flexibility under accelerating conditions. Mech Syst Signal Process. 2021;150:107257.
   Web of Science ®Google Scholar
• Walha L, Fakhfakh T, Haddar M. Nonlinear dynamics of a two-stage gear system with mesh stiffness fluctuation, bearing flexibility and backlash. Mech Mach Theory. 2009;44(5):1058–1069.
   Web of Science ®Google Scholar
• Liu J. A dynamic modelling method of a rotor-roller bearing-housing system with a localized fault including the additional excitation zone. J Sound Vib. 2020;469:115144.
   Web of Science ®Google Scholar
• Liu J, Tang C, Wu H, et al. An analytical calculation method of the load distribution and stiffness of an angular contact ball bearing. Mech Mach Theory. 2019;142:103597.
   Web of Science ®Google Scholar
• Yu Y, Zhao L, Zhou C. Influence of rotor-bearing coupling vibration on dynamic behavior of electric vehicle driven by in-wheel motor. IEEE Access. 2019;7:63540–63549.
   Web of Science ®Google Scholar
• Wang J, Sun R, Ren M, et al. Nonlinear characteristics of rubbing rotor–bearing system of locomotive excited by rotating speed of the traction motor. IOP Conference Series: Earth and Environmental Science; 2019;242(3):032054. IOP Publishing.
   Google Scholar
• Chen Z, Zhai W, Wang K. A locomotive–track coupled vertical dynamics model with gear transmissions. Veh Syst Dyn. 2017;55(2):244–267.
   Web of Science ®Google Scholar
• Chen Z, Zhai W, Wang K. Dynamic investigation of a locomotive with effect of gear transmissions under tractive conditions. J Sound Vib. 2017;408:220–233.
   Web of Science ®Google Scholar
• Chen Z, Zhai W, Wang K. Locomotive dynamic performance under traction/braking conditions considering effect of gear transmissions. Veh Syst Dyn. 2018;56(7):1097–1117.
   Web of Science ®Google Scholar
• Zhai W, Wang K, Cai C. Fundamentals of vehicle–track coupled dynamics. Veh Syst Dyn. 2009;47(11):1349–1376.
   Web of Science ®Google Scholar
• Zhai W, Xia H, Cai C, et al. High-speed train–track–bridge dynamic interactions–part I: theoretical model and numerical simulation. Int J Rail Trans. 2013;1(1–2):3–24.
   Google Scholar
• Zhang T, Chen Z, Zhai W, et al. Establishment and validation of a locomotive–track coupled spatial dynamics model considering dynamic effect of gear transmissions. Mech Syst Signal Process. 2019;119:328–345.
   Web of Science ®Google Scholar
• Zhang T, Chen ZG, Zhai WM, et al. Effect of the drive system on locomotive dynamic characteristics using different dynamics models. Sci China Technol Sci. 2019;62(2):308–320.
   Web of Science ®Google Scholar
• 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. 2019;57(4):543–563.
   Web of Science ®Google Scholar
• 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;1–22.  doi: https://doi.org/10.1080/00423114.2019.1626013.
   Google Scholar
• Wang Z, Cheng Y, Allen P, et al. Analysis of vibration and temperature on the axle box bearing of a high-speed train. Veh Syst Dyn.  2020;58(10):1605–1628.
   Web of Science ®Google Scholar
• Jiang J, Chen Z, Zhai W, et al. Vibration characteristics of railway locomotive induced by gear tooth root crack fault under transient conditions. Eng Fail Anal. 2020;108:104285.
   Web of Science ®Google Scholar
• Tu W, Shao Y, Mechefske CK. An analytical model to investigate skidding in rolling element bearings during acceleration. J Mech Sci Technol. 2012;26(8):2451–2458.
   Web of Science ®Google Scholar
• Palmgren. Slip and cage forces in a high-speed roller bearing. J Lubr Technol. 1972;94:143–152.
   Web of Science ®Google Scholar
• Gupta PK. Dynamic loads and cage wear in high-speed rolling bearings. Wear. 1991;147(1):119–134.
   Web of Science ®Google Scholar
• Chen Z, Shao Y. Dynamic simulation of spur gear with tooth root crack propagating along tooth width and crack depth. Eng Fail Anal. 2011;18(8):2149–2164.
   Web of Science ®Google Scholar
• Chen Z, Zhou Z, Zhai W, et al. Improved analytical calculation model of spur gear mesh excitations with tooth profile deviations. Mech Mach Theory. 2020;149:103838.
   Web of Science ®Google Scholar
• Zhai W, Sun X. A detailed model for investigating vertical interaction between railway vehicle and track. Veh Syst Dyn. 1994;23(S1):603–615.
   Web of Science ®Google Scholar
• Xu L, Zhai W. Train–track coupled dynamics analysis: system spatial variation on geometry, physics and mechanics. Railway Eng Sci. 2020;28(1):36–53.
   Google Scholar
• Ishikawa Y, Kawamura A Maximum adhesive force control in super high speed train. Proceedings of Power Conversion Conference-PCC’97; Nagaoka, Japan: IEEE; 1997. Vol. 2, p. 951–954.
   Google Scholar
• Zhai W. Two simple fast integration methods for large‐scale dynamic problems in engineering. Int J Numer Method Biomed Eng. 1996;39(24):4199–4214.
   Google Scholar
• Dormand JR, Prince PJ. A family of embedded Runge-Kutta formulae. J Comput Appl Math. 1980;6(1):19–26.
   Google Scholar
• Harris TA. An analytical method to predict skidding in high speed roller bearings. A S L E Transactions. 1966;9(3):229–241.
   Google Scholar