Paper Title:
Bearing Fault Diagnosis Based on Wavelet Transform and ICA
| Periodical | Applied Mechanics and Materials (Volumes 148 - 149) |
|---|---|
| Main Theme | Mechanical Engineering, Materials and Energy |
| Edited by | Grace Chang |
| Pages | 672-675 |
| DOI | 10.4028/www.scientific.net/AMM.148-149.672 |
| Citation | Qiang Wu et al., 2011, Applied Mechanics and Materials, 148-149, 672 |
| 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) |
| Price | US$ 28,- |
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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.
