Fault diagnosis of rolling element bearings using basis pursuit

Author:

Yang Hongyu,Mathew Joseph,Ma Lin

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference19 articles.

1. H. Yang, J. Mathew, L. Ma, Intelligent diagnosis of rotating machinery faults—a review, Proceedings of the 3rd Asia-Pacific Conference on System Integrity and Maintenance (ACSIM2002), Queensland University of Technology, Cairns, Queensland, Australia, 2002, pp. 385–392.

2. M. Lebold, et al. Review of vibration analysis methods for gearbox diagnostics and prognostics, the 54th meeting of the society for machinery failure prevention technology, Virginia Beach, VA, 2000, pp. 623–634.

3. M.-C. Pan, P. Sas, H. van Brussel, Nonstationary time–frequency analysis for machine condition monitoring, Time–Frequency and Time-Scale Analysis, 1996, Proceedings of the IEEE-SP International Symposium, Department of Mechanical Engineering, Katholieke University, Leuven, Belgium, Theoretical or Mathematical, Experimental, 1996, pp. 477–480.

4. Non-stationary signals;Klein;Mechanical Systems and Signal Processing,2001

5. J.E. Lopez, R.R. Tenney, J.C. Deckert, Fault detection and identification using real-time wavelet feature extraction, Proceedings of IEEE-SP International Symposium on Time–Frequency and Time-Scale Analysis, Philadelphia, PA, USA, IEEE, New York, NY, USA, 1994, pp. 217–221.

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