Rolling element bearing fault feature extraction using EMD-based independent component analysis

2011 IEEE International Conference on Prognostics and Health Management, PHM 2011 - Conference Proceedings

Volumn , Issue , 2011, Pages

  Miao, Qiang ^a   Wang, Dong ^a   Pecht, Michael ^b  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

empirical mode decomposition; fault feature extraction; independent component analysis; rolling element bearing

Indexed keywords

BEARING FAULT; EMPIRICAL MODE DECOMPOSITION; FAULT DATA; FAULT FEATURE; FREQUENCY SPECTRA; INDEPENDENT COMPONENTS; INTRINSIC MODE FUNCTIONS; MOTOR BEARINGS; MULTIPLE SET; NONSTATIONARY; ONE-DIMENSIONAL TIME SERIES; OUTER RACES; PRE-PROCESSING; ROLLING ELEMENT BEARING; VIBRATION DATA;

FAULT DETECTION; FEATURE EXTRACTION; INDEPENDENT COMPONENT ANALYSIS; SEPARATION; SIGNAL PROCESSING; SPECTROSCOPY; TIME SERIES;

TIME SERIES ANALYSIS;

EID: 80053621166     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPHM.2011.6024349     Document Type: Conference Paper

References (15)

1. R. B. Randall, and J. Antoni, "Rolling element bearing diagnostics - A tutorial," Mechanical Systems and Signal Processing, Vol.25, No.2, 2011, pp.485-520.
2. N. Tandon, and A. Choudhury, "A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings," Tribology International, Vol.32, No.8, 1999, pp. 469-480. (Pubitemid 30550533)
3. V. K. Rai, and A. R. Mohant, "Bearing fault diagnosis using FFT of intrinsic mode functions in Hilbert-Huang transform," Mechanical Systems and Signal Processing, Vol.21, No.6, 2007, pp.2607-2615.
4. C. Kar, and A. R. Mohanty, "Application of KS test in ball bearing fault diagnosis," Journal of Sound and Vibration, Vol.269, No.1-2, 2004, pp.439-454.
5. N. Tandon, K. S. Kumar, "Detection of defects at different locations in ball bearings by vibration and shock-pulse monitoring," Journal of Noise and Vibration Worldwide, Vol.34, No.3, 2003, pp.9-16. (Pubitemid 43076458)
6. Q. Miao, D. Wang, and M. Pecht, "A probabilistic description scheme for rotating machinery health evaluation," Journal of Mechanical Science and Technology, Vol.24, No.12, 2010, pp.2421-2430.
7. N. E. Huang, Z. Shen, S. R. Long, et al., "The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis," Proceedings of the Royal Society of London A, Vol. 454, No.1971, 1998, pp.903-995.
8. X. F. Fan, and M. J. Zuo, "Gearbox fault detection using empirical mode decomposition," Proceedings of ASME 2004 International Mechanical Engineering Congress and Exposition, 2004, pp.37-45.
9. L. Li, H. Ji, "Signal feature extraction based on an improved EMD method," Measurement, Vol.42, No.5, 2009, pp.796-903.
10. R. Yan, and R. X. Gao, "Rotary machine health diagnosis based on empirical mode decomposition," Journal of Vibration and Acoustics, Vol.130, No.2, 021007.
11. M. E. Davies, and C. J. James, "Source separation using signal channel ICA," Signal Processing, Vol.87, No.8, 2007, pp.1819-1832.
12. G. Rilling, P. Flandrin, and P. Goncalves, "On empirical mode decomposition and its algorithms," Proceeding of the 6th IEEE/EURASIP Workshop on Nonlinear Signal and Image Processing, 2003, pp.1-5.
13. A. Hyvärinen, and E. Oja, "Independent component analysis: algorithms and applications," Neural Networks, Vol.13, No.4-5, 2000, pp.411-430. (Pubitemid 30447427)
14. A. Hyvärinnen, and E. Oja, "A fast fixed-point algorithm for independent component analysis," Neural Computation, Vol.9, No.7, 1997, pp.1483-1492. (Pubitemid 127462801)
15. Seeded Fault Test Data, Bearing Data Center, Case Western Reserve University, http://www.eecs.case.edu/laboratory/bearing/