The Design of Bearing Monitoring System Based on Acoustic Emission Signal

Ke Huang; Zhi Kang Bu; Chi Zhang; Heng Lian Xie

doi:10.4028/www.scientific.net/AMM.716-717.940

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 716-717The Design of Bearing Monitoring System Based on...

The Design of Bearing Monitoring System Based on Acoustic Emission Signal

Abstract:

After experimental verification, in terms of low-speed bearing fault diagnosis, the acoustic emission method is superior to the traditional vibration method. In order to further the study of the correlation between AE signals and the bearing state, this article refers to the bearing condition monitoring system, and gives detailed parts models, the acoustic emission acquisition system, which provides help for further researches.

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Periodical:

Applied Mechanics and Materials (Volumes 716-717)

Pages:

940-943

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.716-717.940

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Online since:

December 2014

Authors:

Ke Huang*, Zhi Kang Bu, Chi Zhang, Heng Lian Xie

Keywords:

Acoustic Emission Signals, Fault Diagnosis, Low-Speed Bearing

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* - Corresponding Author

References

[1] Peng Li, Fanrang Kong, Qingbo He, Yongbin Liu. Multiscale slope feature extraction for rotating machinery fault diagnosis using wavelet analysis. Measurement, 2013, 46(1): 497-505.

DOI: 10.1016/j.measurement.2012.08.007

Google Scholar

[2] Department of engineering and material science, National Natural Science Fund Committee. The report of mechanical engineering discipline development strategy (2011-2020) [M]. Beijing: Science Press, (2010).

Google Scholar

[3] Wei Zhou, Thomas G. Habetler and Ronald G. Harley: Bearing condition monitoring methods for electric machines: a general review [J]. 2007IEEE Internation symposium on diagnostics for electric machine, power electronics and drives, SDEMPED(2007).

DOI: 10.1109/demped.2007.4393062

Google Scholar

[4] T. Yoshioka, Application of acoustic emission technique to detection of rolling bearing failure, Journal of the society of tribologists and lubrication engineering(1992)49.

Google Scholar

[5] B. Eftekharnejad M.R. Carrasco,B. Charney,D. Mba. the application of spectral kurtosis on acoustic emission and vibrations from a defective bearing[J]. mechanical systems and signal processing, 25(2011)266-284.

DOI: 10.1016/j.ymssp.2010.06.010

Google Scholar

[6] B. Kilundu,X. Chiementin,J. Duez,D. Mba. Cyclostationarity of Acoustic Emissions(AE) for monitoring bearing defects[J]. Mechanical Systems and Signal Processing, 25(2011)2061-(2072).

DOI: 10.1016/j.ymssp.2011.01.020

Google Scholar