Information Fusion of the Vibration and Acoustic Signals Based Rolling Bearing Incipient Fault Diagnosis Method

Article Preview

Abstract:

The feature of correlation analysis were described and applied to analyzing the vibration signal of the gearbox. Aiming to that the diagnosis effect of the rolling bearings incipient fault was not good through the vibration spectrum and the resonance demodulation spectrum directly, the information fusion technology based on the correlation analysis is proposed to processing the vibration and acoustic resonance demodulation signal. The experimental results show that the presented correlation fusion analysis technology can be as the basis of the effective fault diagnosis method for the rolling bearings incipient defect.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 774-776)

Pages:

1499-1502

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Mei Hongbin, in: Vibration Monitoring and Diagnosis of Rolling Bearing, edtied by Machinery Industry Press, Beijing (1995), in press.

Google Scholar

[2] Wang Jing, Zhang Qing, and Liang Lin: Journal of Xi'an Jiaotong University Vol. 44(3) (2010), p.32 (in Chinese).

Google Scholar

[3] Zhao Lina, Sun Jingjing and Wang Fuzhong: Mater. Journal of Liaoning Technical University (Natural Science) Vol. 27(2) (2008), p.213 (in Chinese).

Google Scholar

[4] Su Yongsheng, Wang Yongsheng and Duan Xiangyang: Journal of Vibration and Shock Vol. 28(2) (2009), p.172 (in Chinese).

Google Scholar

[5] Li Zhaofei, Chai Yi and Li Huafeng: Application Research of Computers Vol. 19(4) (2012), p.1314 (in Chinese).

Google Scholar

[6] Shi Peng, Leng Yonggang and Fan Shengbo: Journal of Vibration and Shock Vol. 31(6) (2012), p.150 (in Chinese).

Google Scholar

[7] Lehtolal, Karsikas M. and Koskinen M: Journal of Medical Engineering and Technology Vol 32(5) (2008), p.400.

Google Scholar