Cluster Computing

, Volume 22, Supplement 4, pp 9159–9167 | Cite as

Laser-based measurement for micro-unbalance of cylindrical rollers of the high-speed precision rolling bearings

  • Xin SuiEmail author
  • Chunyang Liu
  • Jishun Li
  • Yujun Xue
  • Yongjian Yu
  • Yong Cui


It is a stringent requirement for China to develop the technology on the measurement for the unavoidable micro residual unbalance of tiny cylindrical rollers of the high-speed precision bearings, which are widely equipped on high-end advanced equipment. During the measurement process, the vibration response excited by micro unbalance, which is easy to be messed up with background noise, is hard to be detected and a soft support mounting bracket is proposed to enhance the amplitude of vibration response, while maintaining the steady rotation of test roller. Accordingly, a dynamic model of both test roller and mounting bracket is constructed to analyze and simulate the vibration response. Furthermore, a μm level high precision laser-based non-contact measurement system consisting of a roller rotation drive system and a vibration signal acquisition system is developed to measure the synchronized vibration of the unbalance. Finally, by comparing experiment results of a standard roller with a special prepared unbalanced roller and comparing experiment results with simulated results, the validity of the proposed measurement method is verified.


Micro unbalance measurement Tiny cylindrical roller High-speed precision rolling bearings 



This work is supported by the National Key Technology R&D Program of China (2015BAF32B04-3), the Key Science and Research Program in University of Henan Province (18A460003), and the Program for Innovative Research Team (in Science and Technology) in University of Henan Province (15IRTSTHN008).


  1. 1.
    Lang, G., Liao, Y., Liu, Q., Lin, J.: Study on the precession orbit shape analysis-based linear fault qualitative identification method for rotating machinery. J. Sound Vib. 335, 321–337 (2015)CrossRefGoogle Scholar
  2. 2.
    Liu, S., Qu, L.: A new field balancing method of rotor systems based on holospectrum and genetic algorithm. Appl. Soft Comput. 8(1), 446–455 (2008)CrossRefGoogle Scholar
  3. 3.
    Zapoměl, J., Ferfecki, P.: A computational investigation on the reducing lateral vibration of rotors with rolling-element bearings passing through critical speeds by means of tuning the stiffness of the system supports. Mech. Mach. Theory 46(5), 707–724 (2011)CrossRefGoogle Scholar
  4. 4.
    Chen, D., Fan, J., Zhang, F.: Extraction the unbalance features of spindle system using wavelet transform and power spectral density. Measurement 46(3), 1279–1290 (2013)CrossRefGoogle Scholar
  5. 5.
    Zhang, J., Ma, W., Lin, J., Ma, L., Jia, X.: Fault diagnosis approach for rotating machinery based on dynamic model and computational intelligence. Measurement 59, 73–87 (2015)CrossRefGoogle Scholar
  6. 6.
    Lee, Y.B., Park, D.J., Kim, C.H., Ryu, K.: Rotordynamic characteristics of a micro turbo generator supported by air foil bearings. J. Micromech. Microeng. 17(2), 297–303 (2007)CrossRefGoogle Scholar
  7. 7.
    Hong, D.K., Joo, D.S., Woo, B.C., Koo, D.H., Ahn, C.W.: Unbalance response analysis and experimental validation of an ultra high speed motor-generator for microturbine generators considering balancing. Sensors 14(9), 16117–16127 (2014)CrossRefGoogle Scholar
  8. 8.
    Zhou, W.Y., Dong-Xu, L.: Design and analysis of an intelligent vibration isolation platform for reaction/momentum wheel assemblies. J. Sound Vib. 331(13), 2984 (2012)CrossRefGoogle Scholar
  9. 9.
    Zhou, W.Y., Aglietti, G.S., Zhang, Z.: Modelling and testing of a soft suspension design for a reaction/momentum wheel assembly. J. Sound Vib. 330(18–19), 4596–4610 (2011)CrossRefGoogle Scholar
  10. 10.
    Zhang, Z., Aglietti, G.S., Zhou, W.: Microvibrations induced by a cantilevered wheel assembly with a soft-suspension system. AIAA J. 49(5), 1067–1079 (2011)CrossRefGoogle Scholar
  11. 11.
    Fang, J., Xu, X., Tang, J., Liu, H.: Adaptive complete suppression of imbalance vibration in amb systems using gain phase modifier. J. Sound Vib. 332(24), 6203 (2013)CrossRefGoogle Scholar
  12. 12.
    Meybodi, R.R., Mohammadi, A.K., Bakhtiari-Nejad, F.: Numerical analysis of a rigid rotor supported by aerodynamic four-lobe journal bearing system with mass unbalance. Commun. Nonlinear Sci. Numer. Simul. 17(1), 454–471 (2012)MathSciNetCrossRefGoogle Scholar
  13. 13.
    Tiwari, R., Chougale, A.: Identification of bearing dynamic parameters and unbalance states in a flexible rotor system fully levitated on active magnetic bearings. Mechatronics 24(3), 274–286 (2014)CrossRefGoogle Scholar
  14. 14.
    Zhou, W., Li, D., Luo, Q., Liu, K.: Analysis and testing of microvibrations produced by momentum wheel assemblies. Chin. J. Aeronaut. 25(4), 640–649 (2012)CrossRefGoogle Scholar
  15. 15.
    Zhang, Z., Aglietti, G.S., Ren, W.: Coupled microvibration analysis of a reaction wheel assembly including gyroscopic effects in its accelerance. J. Sound Vib. 332(22), 5748 (2013)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Xin Sui
    • 1
    • 3
    Email author
  • Chunyang Liu
    • 2
  • Jishun Li
    • 1
    • 2
  • Yujun Xue
    • 2
  • Yongjian Yu
    • 1
  • Yong Cui
    • 2
  1. 1.Key Laboratory of Machine Design and Transmission SystemLuoyangPeople’s Republic of China
  2. 2.Mechanical and Electrical Engineering SchoolHenan University of Science and TechnologyLuoyangPeople’s Republic of China
  3. 3.Collaborative Innovation Center of Machinery Equipment Advanced Manufacturing of Henan ProvinceLuoyangPeople’s Republic of China

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