Vibration Signal Analysis of Bearing Based on EMD and Resonance Demodulation

Abstract:

In order to monitor the operation state and implement fault diagnosis of rolling bearing in rotating machinery, this paper presents a method of fault diagnosis of rolling bearing, which is based on EMD and resonance demodulation. Using EMD to decompose the signal, which comes from QPZZ-II experimental station, the components of intrinsic mode function (IMF) will be obtained. Then, calculating the correlation coefficient of each IMF component, the highest correlation coefficient of IMF component will be analyzed by resonance demodulation. Finally, the experimental results show that the method can accurately identify and diagnose the running state and bearing fault type.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 1286-1289
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.1286
• Online since: May 2014
• Authors: Jie Shi*, Xing Wu, Nan Pan, Sen Wang, Jun Zhou
• Keywords: Bearing Fault Diagnosis, Empirical Mode Decomposition (EMD), MATLAB, Resonance Demodulation

References

[1] Chen Jin：Mechanical Equipment Fault Diagnosis Technology and Application (Shanghai Higher Education Electronic audio and video Press, China 2003).

[2] N. E. Huang, Z. Shen, etc. The empirical mode deomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. [J]. Proceedings of the Royal Society, 1998 (454) 903–995.

[3] Brown D N. Envelope analysis detects bearing faults before major damage occurs. [J]. Pulp and Paper, 1989 (63), 113–117.

[4] Du, S. Yang. Application of the EMD method in the vibration analysis of ball bearing. [J]. Mechanical Systems and Signal Processing, 2007(21) 2634–2644.

DOI: 10.1016/j.ymssp.2007.01.006

[5] J. Shi and so on. Design and Implementation of Bearing Fault Diagnosis System Based on Web. [J]. Development & Innovation of Machinery & Electrical Products, 2007 (20) 105–107.