Application of Acoustic Emission on Fault Diagnosis of Rolling Element Bearing

Abstract:

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Because AE (Acoustic Emission) signals in bearing fault monitoring unavoidably mixed various noise which lead to wide band characteristics, in this paper, the collected AE signals are pre-processed by EMD (Empirical Mode Decomposition) algorithm to extract useful information in the concerned frequency range, after that, power spectrum is used to locating analysis and pattern recognition. Experiment show that this method could improve the detection accuracy in rolling element bearing fault diagnosis.

Info:

Periodical:

Advanced Materials Research (Volumes 199-200)

Edited by:

Jianmin Zeng, Zhengyi Jiang, Taosen Li, Daoguo Yang and Yun-Hae Kim

Pages:

895-898

DOI:

10.4028/www.scientific.net/AMR.199-200.895

Citation:

H. F. Yuan et al., "Application of Acoustic Emission on Fault Diagnosis of Rolling Element Bearing", Advanced Materials Research, Vols. 199-200, pp. 895-898, 2011

Online since:

February 2011

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Price:

$35.00

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