Fault Diagnosis of Bearing in Mechanical Drive System Using Wavelet Analysis

Abstract:

Exploring a proper wavelet base function to characterize fault information of mechanical equipment is a big problem when wavelet analysis is applied into the field of fault diagnosis.Improper wavelet base function can dilute fault information, which will cause difficulties in fault diagnosis , based on the principle that the wavelet domain oscillation waveform are similar to the detected signal components, a proper wavelet base function was selected; through wavelet transform on the acceleration signals of the fault bearing, the spectrum chart of fault signals and the frequency characteristics of fault bearing were obtained. The experimental result shows that this method has a great advantage over extracting character signals.

• Periodical: Applied Mechanics and Materials (Volumes 303-306)
• Pages: 515-520
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.303-306.515
• Online since: February 2013
• Authors: Zeng Qiang Wang, Hua Jie Zhang, Xu Hui Zhang, Xian Gang Cao, Hong Wei Ma
• Keywords: Fault Diagnosis, Rolling Bearing, Wavelet Analysis, Wavelet Base Function

References

[1] W. Zhou: MATLAB Wavelet Analysis Advanced Technology (Xidian University Press, Xi'an, China2005).

[2] C.D. Duan, L.J. Li, Z. J. He: Mechanical Science and Technology Vol. 2(2004), 2(23): pp.35-38.

[3] L. Li: Mechanical Signal Processing and Application (Huazhong University of Science & Technology.

[4] C.H. Dong: Matlab Wavelet Analysis Toolbox Principles and Applications(National Defense University Press, Beijing, China2004).

[5] S. Lu: Machine Tool & Hydraulics Vol. 6(2005): pp.183-185.

[6] Information on http: /csegroups. case. edu/bearingdatacenter/home.

[7] L.S. Qu,Z.J. He: Mechanical Fault Diagnosis (Shanghai Science and Technology Press, Shanghai, China1986).