Bearing Fault Diagnosis Based on Wavelet Transform and ICA

Qiang Wu; Qing Bo He; Fan Rang Kong; Yong Bin Liu; Peng Li

doi:10.4028/www.scientific.net/AMM.148-149.672

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 148-149Bearing Fault Diagnosis Based on Wavelet Transform...

Bearing Fault Diagnosis Based on Wavelet Transform and ICA

Abstract:

The key to fault diagnosis of rolling element bearing is how to find typical characteristic frequencies from low SNR mixed signals. Jointing Continuous Wavelet Transform (CWT) with Independent Component Analysis (ICA)，this paper proposes a method to select wavelet scales with iso-interval frequency and analyze envelope spectrum of independent signal to diagnose the fault of rolling element bearing. Finally, the effectiveness of this method has been verified by practical signal of rolling element bearing.

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Periodical:

Applied Mechanics and Materials (Volumes 148-149)

Pages:

672-675

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.148-149.672

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Online since:

December 2011

Authors:

Qiang Wu, Qing Bo He, Fan Rang Kong, Yong Bin Liu, Peng Li

Keywords:

Independent Component Analysis (ICA), Iso-Interval Frequency, Rolling Element Bearing, Wavelet Transform (WT)

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