A novel adaptive wavelet stripping algorithm for extracting the transients caused by bearing localized faults

Journal of Sound and Vibration

Volumn 332, Issue 25, 2013, Pages 6871-6890

  Wang, Dong ^a   Shen, Changqing ^a,b,c   Tse, Peter W ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^c Suzhou Institute for Advanced Study   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION FILTERING; DAMPING COEFFICIENTS; PARAMETRIC MODELING; RANDOM CHARACTERISTICS; ROLLING ELEMENT BEARING; SIMULATED TRANSIENTS; SPATIAL RECONSTRUCTION; UNEXPECTED FAILURES;

ALGORITHMS; IMPULSE RESPONSE;

TRANSIENTS;

EID: 84884594170     PISSN: 0022460X     EISSN: 10958568     Source Type: Journal    
DOI: 10.1016/j.jsv.2013.07.021     Document Type: Article

References (38)

1. X. Zhu, Y. Zhang, and Y. Zhu Bearing performance degradation assessment based on the rough support vector data description Mechanical Systems and Signal Processing 34 2013 203 217
2. P.W. Tse, and J.C. Leung Advanced System for Automatically Detecting Faults Occurring in Bearings first edition 2010 Nova Science Publishers New York
3. R.X. Gao, and R.Q. Yan Wavelets: Theory and Applications for Manufacturing first edition 2011 Springer New York
4. R.B. Randall Vibration-based Condition Monitoring: Industrial Aerospace and Automotive Applications first edition 2011 Wiley Chichester
5. P.D. McFadden, and J.D. Smith Model for the vibration produced by a single point defect in a rolling element bearing Journal of Sound and Vibration 96 1984 69 82
6. R.B. Randall, and J. Antoni Rolling element bearing diagnostics - a tutorial Mechanical Systems and Signal Processing 25 2011 485 520
7. J. Antoni Cyclic spectral analysis in practice Mechanical Systems and Signal Processing 21 2007 597 630
8. P.W. Tse, Y.H. Peng, and R. Yam Wavelet analysis and envelope detection for rolling element bearing fault diagnosis - their effectiveness and flexibilities Journal of Vibration and Acoustics 123 2001 303 310
9. D. Wang, Q. Miao, and R. Kang Robust health evaluation of gearbox subject to tooth failure with wavelet decomposition Journal of Sound and Vibration 324 2009 1141 1157
10. J. Lin, and L.S. Qu Feature extraction based on Morlet wavelet and its application for mechanical fault diagnosis Journal of Sound and Vibration 234 2000 135 148
11. J. Lin, and M.J. Zuo Gearbox fault diagnosis using adaptive wavelet filter Mechanical Systems and Signal Processing 17 2003 1259 1269
12. H. Qiu, J. Lee, J. Lin, and G. Yu Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics Journal of Sound and Vibration 289 2006 1066 1090
13. I.S. Bozchalooi, and M. Liang A smoothness index-guided approach to wavelet parameter selection in signal de-noising and fault detection Journal of Sound and Vibration 308 2007 246 267
14. I.S. Bozchalooi, and M. Liang A joint resonance frequency estimation and in-band noise reduction method for enhancing the detectability of bearing fault signals Mechanical Systems and Signal Processing 22 2008 915 933
15. W. Su, F. Wang, H. Zhu, Z. Zhang, and Z. Guo Rolling element bearing faults diagnosis based on optimal Morlet wavelet filter and autocorrelation enhancement Mechanical Systems and Signal Processing 24 2010 1458 1472
16. W. He, Z.N. Jiang, and K. Feng Bearing fault detection based on optimal wavelet filter and sparse code shrinkage Measurement 42 2009 1092 1102
17. R. Yan, and R.X. Gao Harmonic wavelet-based data filtering for enhanced machine defect identification Journal of Sound and Vibration 329 2010 3203 3217
18. R. Yan, and R.X. Gao Energy-based feature extraction for defect diagnosis in rotary machines IEEE Transactions on Instrumentation and Measurement 58 2009 3130 3139
19. J. Antoni The spectral kurtosis: a useful tool for characterising non-stationary signals Mechanical Systems and Signal Processing 20 2006 282 307
20. J. Antoni, and R.B. Randall The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines Mechanical Systems and Signal Processing 20 2006 308 331
21. J. Antoni Fast computation of the kurtogram for the detection of transient faults Mechanical Systems and Signal Processing 21 2007 108 124
22. T. Barszcz, and A. JabŁoński A novel method for the optimal band selection for vibration signal demodulation and comparison with the Kurtogram Mechanical Systems and Signal Processing 25 2011 431 451
23. Y. Lei, J. Lin, Z. He, and Y. Zi Application of an improved kurtogram method for fault diagnosis of rolling element bearings Mechanical Systems and Signal Processing 25 2011 1738 1749
24. E.L. Schukin, R.U. Zamaraev, and L.I. Schukin The optimisation of wavelet transform for the impulse analysis in vibration signals Mechanical Systems and Signal Processing 18 2004 1315 1333
25. J. Rafiee, M.A. Rafiee, and P.W. Tse Application of mother wavelet functions for automatic gear and bearing fault diagnosis Expert Systems with Applications 37 2010 4568 4579
26. J. Rafiee, P.W. Tse, A. Harifi, and M.H. Sadeghi A novel technique for selecting mother wavelet function using an intelligent fault diagnosis system Expert Systems with Applications 36 2009 4862 4875
27. L.C. Freudinger, R. Lind, M.J. Brenner, Correlation filtering of modal dynamics using the Laplace wavelet, Proceedings of 16th International Modal Analysis Conference, Santa Barbara, California, 1998, pp. 868-877.
28. S. Wang, W. Huang, and Z.K. Zhu Transient modeling and parameter identification based on wavelet and correlation filtering for rotating machine fault diagnosis Mechanical Systems and Signal Processing 25 2011 1299 1320
29. R. Makowski, and R. Zimroz A procedure for weighted summation of the derivatives of reflection coefficients in adaptive Schur filter with application to fault detection in rolling element bearings Mechanical Systems and Signal Processing 38 2013 65 77
30. K. Feng, Z. Jiang, W. He, and Q. Qin Rolling element bearing fault detection based on optimal antisymmetric real Laplace wavelet Measurement 44 2011 1582 1591
31. C. Junsheng, Y. Dejie, and Y. Yu Application of an impulse response wavelet to fault diagnosis of rolling bearings Mechanical Systems and Signal Processing 21 2007 920 929
32. S.M. Stigler Francis Galton's account of the invention of correlation Statistical Science 4 1989 73 79
33. J. Benesty, C. Jingdong, and H. Yiteng On the importance of the pearson correlation coefficient in noise reduction IEEE Transactions on Audio, Speech, and Language Processing 16 2008 757 765
34. I.S. Bozchalooi, and M. Liang Parameter-free bearing fault detection based on maximum likelihood estimation and differentiation Measurement Science and Technology 20 2009 065102
35. N.E. Huang, Z. Shen, R. Long, C. Wu, H. Shih, Q. Zheng, C. Yen, C. Tung, and H. Liu The empirical mode decomposition and the Hilbert spectrum for non-linear and non-stationary time series analysis Proceedings of the Royal Society of London Series A - Mathematical Physical and Engineer Sciences 1998 903 995
36. CWRU, Bearing Data Center, Seeded Fault Test Data, January, 2012.
37. Q. Miao, D. Wang, and H.Z. Huang Identification of characteristic components in frequency domain from signal singularities Review of Scientific Instruments 81 2010 035113 035117
38. Q. Miao, L. Cong, and M. Pecht Identification of multiple characteristic components with high accuracy and resolution using the zoom interpolated discrete Fourier transform Measurement Science and Technology 22 2011 055701