Application of correlation matching for automatic bearing fault diagnosis

Journal of Sound and Vibration

Volumn 331, Issue 26, 2012, Pages 5838-5852

  Liu, Xiaofeng ^a   Bo, Lin ^a   He, Xingxi ^a   Veidt, Martin ^b  

^a CHONGQING UNIVERSITY   (China)

^b UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC FEATURE EXTRACTION; BEARING FAULT DIAGNOSIS; CORRELATION MATCHING; CYCLE PARAMETERS; FAULTY BEARING SIGNALS; IMPULS; MATCHING PURSUIT; OPTIMUM SHAPE; ROLLING BEARINGS; ROLLING ELEMENT BEARING; SHAPE PARAMETERS; THEORY AND PRACTICE; VIBRATION MODEL; VIBRATION SIGNAL;

BEARINGS (MACHINE PARTS);

OPTIMIZATION;

EID: 84866619187     PISSN: 0022460X     EISSN: 10958568     Source Type: Journal    
DOI: 10.1016/j.jsv.2012.07.022     Document Type: Article

References (19)

1. 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 1983 69 82
2. I.S. Bozchalooi, Ming Liang. A combined spectral subtraction and wavelet de-noising method for bearing fault diagnosis. Proceedings of the 2007 American Control Conference, New York City, USA, July 2007, pp. 2533-2537.
3. W. Shibin, H. Weiguo, and Z.K. Zhu Transient modelling and parameter identification based on wavelet and correlation filtering for rotating machine fault diagnosis Mechanical Systems and Signal Processing 25 2011 1299 1320
4. F. Kun, J. Zhinong, H. Wei, and Q. Qiang Rolling element bearing fault detection based on optimal antisymmetric real Laplace wavelet Measurement 44 2011 1582 1591
5. G.Y. Luo, D. Qsypiw, and M. Irle On line vibration analysis with last continuous wavelet algorithm for condition monitoring of bearing Journal of Vibration and Control 9 2003 931 947
6. L. Zhen, H. Zhengjia, Z. Yanyang, and W. Yanxue Customized wavelet denoising using intra- and inter-scale dependency for bearing fault detection Journal of Sound and Vibration 313 2008 342 359
7. L.C. Freudinger, R. Lind, Brenner M.J. Correlation filtering of modal dynamic using the Laplace wavelet. Proceedings of 16th International Modal analysis Conference, Santa Barbara, CA, 1998, pp. 868-877.
8. I. Antoniadis, and G. Glossiotic Analysis of rolling element bearing vibration signals Journal of Sound and Vibration 248 2001 829 845
9. Khalid F. Al-Raheem, Asok Roy, K.P. Ramachandran, D.K. Harrison, and Steven Grainger Rolling element bearing fault diagnosis based on autocorrelation of optimized wavelet de-noising technique International Journal of Advanced Manufacturing Technology 40 2009 393 402
10. Khalid F. AI-Raheem, and Asok Roy Application of the Laplace-wavelet combined with ANN for rolling bearing fault diagnosis Journal of Vibration and Acoustics 130 2008 1 9
11. S. Mallat, and Z. Zhang Matching pursuit with time-frequency dictionaries IEEE Transactions on Signal Processing 41 1993 3397 3415
12. S. Qian, and D. Chen Signal representation using adaptive normalized Gaussian functions Signal Processing 36 1994 1 11
13. D.F. Shi, W.J. Wang, and L.S. Qu Defect detection of bearings using envelope spectra of wavelet transform ASME Journal of Vibration and Acoustics 126 2004 567 573
14. C. Junsheng, Y. Dejie, and Y. Yang Time-energy density analysis based on wavelet transform NDT&E International 38 2005 569 572
15. Jerome Antoni Fast computation of the kurtogram for the detection of transient faults Mechanical Systems and Signal Processing 21 2007 108 124
16. J. Antoni The spectral kurtosis: a useful tool for characterising non-stationary signals Mechanical Systems and Signal Processing 20 2006 282 307
17. 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 2004 308 331
18. S.I. Bozchalooi, and Liang Ming 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
19. Sadok Sassi, Bechir Badri, and Marc Thomas A numerical model to predict damaged bearing vibrations Journal of Sound and Vibration 13 2007 1603 1628