46. Research on fault law of rolling bearing under different fault levels and loads with HHT method

Liu Yongbao1, Wang Qiang2, Liu Shuyong3, He Xing4

College of Power Engineering, Naval University of Engineering, WuHan, China

2Corresponding author

E-mail: 1yongbaoliu@aliyun.com, 2wangqiang13000306@163.com, 3soaringbird2008@sina.com, 4hexing_mail@163.com

(Received 14 February 2014; received in revised form 11 April 2014; accepted 27 April 2014)

Abstract. Bearing is one of the most important components of rotating machinery. The vibration signals are generally nonlinear and nonstationary while operating. The failed rolling bearing will damage to the machine, or cause a serious loss of property. There are a lot of methods about fault diagnosis of bearing, such as shock pulse method, resonance demodulation. Especially the HHT (Hilbert-Huang Transform) method with the adaptive advantage has gradually become a very promising method to extract the characteristics of nonlinear, nonstationary signal. In this paper the variant energy method was introduced in HHT to reduce the computation of the decomposed signal, which effectively improved the computation, and then an experimental platform was designed and established. The bearing fault categories can be diagnosed correctly in dealing with the vibration signals using this method and the fault law is discovered that the trend of the vibration signal fault characteristic frequency amplitude changes with the load increasing. The bearing failure mechanism provides beneficial reference for further research of nonlinear signal analysis.

Keywords: rolling bearing, HHT, fault diagnosis.


[1]        Wang W. J., McFadden P. D. Application of waveletsto gearbox vibration signals for fault detection. Journal of Sound and Vibration, Vol. 192, 1996, p. 927‑939.

[2]        Huang N. E., Shen Z., Long S. R. A new view of non-linear water waves: the Hilbert spectrum. Annual Review of Fluid Mechanics, Vol. 31, 1999, p. 417‑457.

[3]        Montesinos M. E., Munoz-Cobo J. L., Perez C. Hilbert-Huang analysis of BWR neutron detector signals: application to DR calculation and to corrupted signal analysis. Annals of Nuclear Energy, Vol. 30, 2003, p. 715‑727.

[4]        Peng Z., Chu F., Tse P. Detection of the rubbing caused impacts for rotor-stator fault diagnosis using reassigned scalogram. Mechanical Systems and Signal Processing, Vol. 19, 2005, p. 391‑409.

[5]        Hu N. Q., Chen M., Wen X. S. The application of stochastic resonance theory for early detecting rubbing caused impacts fault of rotor system. Mechanical Systems and Signal Processing, Vol. 17, 2003, p. 883‑895.

[6]        Huang N. E., Shen Z., Long S. R. A new view of nonlinear water waves: The Hilbert spectrum. Annual Review of Fluid Mechanics, Vol. 31, 1999, p. 417‑457.

[7]        Norden E. Huang New method for nonlinear and nonstationary time series analysis: Empirical mode decomposition and Hilbert spectral analysis. Proceedings of SPIE, 2000, p. 197‑209.

[8]        Flandrin P., Rilling G., Goncalves P. Empirical mode decomposition as a filter bank. IEEE Signal Processing Letters, Vol. 11, Issue 2, 2004, p. 112‑114.

[9]        Vapnik V. N. Statistical learning theory. Publishing House of Electronics Industry, 2004.

[10]     Christoph Bandt, Bernd Pompe Permutation entropy: a natural complexity measure for time series. Physical Review Letters, Vol. 88, Issue 17, 2002.

[11]     CWRU, Bearing Data Center. http://csegroups.case.edu/bearingdatacenter/home.

[12]     Miao Q., Wang D., Huang H. Z. Identification of characteristic components in frequency domain from signal singularities. Review of Scientific Instruments, Vol. 81, 2010, p. 035113.

[13]     Miao Q., Cong L., Pecht M. Identification of multiple characteristic components with high accuracy and resolution using the zoom interpolated discrete Fourier transform. Measurement Science and Technology, Vol. 22, 2011, p. 055701.

Cite this article

Yongbao Liu, Qiang Wang, Shuyong Liu, Xing He Research on fault law of rolling bearing under different fault levels and loads with HHT method. Journal of Measurements in Engineering, Vol. 2, Issue 2, 2014, p. 86‑94.


Journal of Measurements in Engineering. June 2014, Volume 2, Issue 2
JVE International Ltd. ISSN Print 2335-2124, ISSN Online 2424-4635, Kaunas, Lithuania