The Acoustics Fault Diagnosis of Bearings Based on Wavelet and EMD

Article Preview

Abstract:

The wavelet and EMD method are taken in order to accurately extract the fault information from the audio signal with a lot of noise. The bearings were studied for the object. This paper proposed a method based on wavelet and EMD frequency characteristics of the acoustic signal information extraction, and the method used in bearing fault feature extraction. The experimental results show that: the method can effectively extract the fault characteristic frequency of bearing.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 631-632)

Pages:

1457-1460

Citation:

Online since:

January 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] B. Samanta,Artificial neural networks and genetic algorithms for gear fault detection, Mechanical Systems and Signal Processing. 2004(18):1273~1282.

DOI: 10.1016/j.ymssp.2003.11.003

Google Scholar

[2] Ma Weijin, Xiong Shibo, Xiong Xiaoyan. Method for sound Signal characteristic extrction based on modal analysis and its application, Chinese Journal of Mechanical Engineering, 2005, 41(5): 15~20.

DOI: 10.3901/jme.2005.05.015

Google Scholar

[3] Huang N E, Shen Z, Long S R et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc.R. Soc. Lond. A, 1998, 454: 903~995.

DOI: 10.1098/rspa.1998.0193

Google Scholar

[4] XU Renlin, AN Wei. Wavelet denoise application in the signal Hilbert transform based on EMD. Noise and Vibration Control, 2008, 28(3): 74~77.

Google Scholar

[5] HUANG Pingping, MA Weijin, GE Yumin, WANG Junyuan. Characteristic analysis on the vibration and noise of the heavy vehicles gearbox[J]. Noise and Vibration Control, 2011, 31(3): 69~72.

Google Scholar

[6] ZHANG Xiaofeng, LI Gongyan. Extraction of fault diagnosis signals frequency band with wavelet analysis. Journal of Vibration and Shock, 2004, (23)4: 47~50.

Google Scholar