Bearing fault diagnosis under unknown variable speed via gear noise cancellation and rotational order sideband identification

Mechanical Systems and Signal Processing

Volumn 62, Issue , 2015, Pages 30-53

  Wang, Tianyang ^a,b   Liang, Ming ^b   Li, Jianyong ^a   Cheng, Weidong ^a   Li, Chuan ^b,c  

^a BEIJING JIAOTONG UNIVERSITY   (China)

^b UNIVERSITY OF OTTAWA   (Canada)

^c CHONGQING TECHNOLOGY AND BUSINESS UNIVERSITY   (China)

Author keywords

Bearing fault diagnosis; Gear signal interferences; Instantaneous dominant meshing frequency multiple; Rotational order sideband; Unknown time varying rotational speed

Indexed keywords

FAILURE ANALYSIS; ROLLER BEARINGS; SIGNAL INTERFERENCE; SPEED; SPURIOUS SIGNAL NOISE;

BEARING FAULT DIAGNOSIS; GEAR SIGNALS; MESHING FREQUENCY; ROTATIONAL ORDER SIDEBAND; ROTATIONAL SPEED;

FAULT DETECTION;

EID: 84928611005     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2015.03.005     Document Type: Article

References (17)

1. J. Antoni, and R.B. Randall Unsupervised noise cancellation for vibration signals: Part I - Evaluation of adaptive algorithms Mech. Syst. Signal Process. 18 1 2004 89 101
2. R.B. Randall, and J. Antoni Rolling element bearing diagnostics - a tutorial Mech. Syst. Signal Process. 25 2 2011 485 520
3. D. Ho, and R.B. Randall Effects of Time Delay, Order of FIR Filter and Convergence Factor on Self-adaptive Noise Cancellation 1997 Adelaide Australia
4. J. Antoni, and R.B. Randall Unsupervised noise cancellation for vibration signals: Part II - A novel frequency-domain algorithm Mech. Syst. Signal Process. 18 1 2004 103 117
5. P.D. Mcfadden A revised model for the extraction of periodic waveforms by time domain averaging Mech. Syst. Signal Process. 1 1 1987 83 95
6. J. Urbanek, T. Barszcz, N. Sawalhi, and R.B. Randall Comparison of amplitude-based and phase-based methods for speed tracking in application to wind turbines Metrol. Meas. Syst. 18 2 2011 295 304
7. P. Borghesani, R. Ricci, S. Chatterton, and P. Pennacchi A new procedure for using envelope analysis for rolling element bearing diagnostics in variable operating conditions Mech. Syst. Signal Process. 38 1 2013 23 35
8. W. Wang Autoregressive model-based diagnostics for gears and bearings Insight: Non-Destr. Test. Cond. Monit. 50 2008 414 418
9. F. Bonnardot, M. ElBadaoui, R.B. Randall, J. Daniere, and F. Guillet Use of the acceleration signal of a gearbox in order to perform angular resampling (with limited speed fluctuation) Mech. Syst. Signal Process. 19 25 2005 766 785
10. J. Urbanek, T. Barszcz, and J. Antoni A two-step procedure for estimation of instantaneous rotational speed with large fluctuations Mech. Syst. Signal Process. 38 1 2013 96 102
11. T. Wang, M. Liang, J. Li, and W. Cheng Rolling element bearing fault diagnosis via fault characteristic order (FCO) analysis Mech. Syst. Signal Process. 45 1 2014 139 153
12. G.K. Chaturvedi, and D.W. Thomas Bearing fault detection using adaptive noise cancelling Trans. ASME: J. Mech. Des. 104 2 1982 280 289
13. R.Y. Wang Bearing Fault Detection and Oil Debris Monitoring by Adaptive Noise Cancellation 2008 University of Ottawa
14. B. Widrow Jr., J.R. Glover, J.M. Mccool, J. Kaunitz, C.S. Williams, R.H. Hearn, J.R. Zeidler Jr., Eugene Dong, and R.C. Goodlin Adaptive noise cancelling: principles and applications Proc. IEEE 63 12 1975 1692 1716
15. J.R. Zeidler, E. Satorius, D.M. Chabries, and H. Wexler Adaptive enhancement of multiple sinusoids in uncorrelated noise IEEE Trans. Acoust. Speech Signal Process. 26 3 1978 240 254
16. S.M. Kay Jr., and S.L. Marple Spectrum analysis, a modern perspective Proc. IEEE 69 11 1981 1380 1419
17. S.S. Haykin Adaptive Filter Theory 2002 Prentice Hall