A tacho-less order tracking technique for large speed variations

Mechanical Systems and Signal Processing

Volumn 40, Issue 1, 2013, Pages 76-90

  Zhao, Ming ^a   Lin, Jing ^b   Wang, Xiufeng ^a   Lei, Yaguo ^b   Cao, Junyi ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Chirplet transform; Hilbert transform; Order tracking; Vold Kalman filter

Indexed keywords

CHIRPLET TRANSFORMS; HILBERT TRANSFORM; INSTANTANEOUS FREQUENCY; NON-STATIONARY VIBRATION; ORDER TRACKING; ORDER TRACKING TECHNIQUES; ROTATING FREQUENCIES; VOLD-KALMAN FILTERS;

HARMONIC ANALYSIS; MACHINERY; SPEED; TACHOMETERS; TRACKING (POSITION); VIBRATION ANALYSIS;

KALMAN FILTERS;

EID: 84881316716     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2013.03.024     Document Type: Article

References (36)

1. A.K.S. Jardine, D. Lin, and D. Banjevic A review on machinery diagnostics and prognostics implementing condition-based maintenance Mech. Syst. Signal Process. 20 2006 1483 1510
2. G. Dalpiaz, A. Rivola, and R. Rubini Effectiveness and sensitivity of vibration processing techniques for local fault detection in gears Mech. Syst. Signal Process. 14 2000 387 412
3. J. Antoni, F. Bonnardot, A. Raad, and M. El Badaoui Cyclostationary modelling of rotating machine vibration signals Mech. Syst. Signal Process. 18 2004 1285 1314
4. C.J. Stander, P.S. Heyns, and W. Schoombie Using vibration monitoring for local fault detection on geears operating under fluctuating load conditions Mech. Syst. Signal Process. 16 2002 1005 1024
5. T. Heyns, S.J. Godsill, J.P. de Villiers, and P.S. Heyns Statistical gear health analysis which is robust to fluctuating loads and operating speeds Mech. Syst. Signal Process. 27 2012 651 666
6. K.R. Fyfe, and E.D.S. Munck Analysis of computed order tracking Mech. Syst. Signal Process. 11 1997 187 205
7. K.M. Bossley, R.J. McKendrick, C.J. Harris, and C. Mercer Hybrid computed order tracking Mech. Syst. Signal Process. 13 1999 627 641
8. S. Braun The extraction of periodic waveforms by time domain averaging Acustica 32 1975 69 77
9. H.X. Liu, H.F. Zuo, C.G. Jiang, and L.S. Qu An improved algorithm for direct time-domain averaging Mech. Syst. Signal Process. 14 2000 279 285
10. W.T. Wu, J. Lin, S.B. Han, and X.H. Ding Time domain averaging based on fractional delay filter Mech. Syst. Signal Process. 23 2009 1447 1457
11. S. Braun The synchronous (time domain) average revisited Mech. Syst. Signal Process. 25 2011 1087 1102
12. C. Stander, and P. Heyns Instantaneous angular speed monitoring of gearboxes under non-cyclic stationary load conditions Mech. Syst. Signal Process. 19 2005 817 835
13. F. Combet, L. Gelman, and G. LaPayne Novel detection of local tooth damage in gears by the wavelet bicoherence Mech. Syst. Signal Process. 26 2012 218 228
14. E.B. Halim, M.A.A.S. Choudhury, S.L. Shah, and M.J. Zuo Time domain averaging across all scales: a novel method for detection of gearbox faults Mech. Syst. Signal Process. 22 2008 261 278
15. X. Wang, V. Makis, and M. Yang A wavelet approach to fault diagnosis of a gearbox under varying load conditions J. Sound Vib. 329 2010 1570 1585
16. F. Bonnardot, M. El Badaoui, 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 2005 766 785
17. F. Combet, and L. Gelman An automated methodology for performing time synchronous averaging of a gearbox signal without speed sensor Mech. Syst. Signal Process. 21 2007 2590 2606
18. M.D. Coats, N. Sawalhi, R.B. Randall, Extraction of tacho information from a vibration signal for improved synchronous averaging, in: Proceedings of ACOUSTICS 2009, Adelaide, Australia, 23-25 November, 2009.
19. K.S. Wang, and P.S. Heyns An empirical re-sampling method on intrinsic mode function to deal with speed variation in machine fault diagnostics Appl. Software Comput. 11 2011 5015 5027
20. L.F. Villa, A. Reñones, J.R. Perán, and L.J. de Miguel Angular resampling for vibration analysis in wind turbines under non-linear speed fluctuation Mech. Syst. Signal Process. 25 2011 2157 2168
21. H. Vold, J. Leuridan, High resolution order tracking at extreme slew rates, using Kalman tracking filters, SAE Paper No. 931288, 1993.
22. M.C. Pan, and Y.F. Lin Further exploration of Vold-Kalman-filtering order tracking with shaft-speed information - I: theoretical part, numerical implementation and parameter investigations Mech. Syst. Signal Process. 20 2006 1134 1154
23. J. Tuma, Setting the passband wdth in the Vold-Kalman order tracking filter, in: Twelfth International Congress on Sound and Vibration, Lisbon, 2005.
24. H. Herlufsen, S. Gade, H. Konstantin-Hansen, H. Vold, Characteristics of the Vold-Kalman order tracking filter, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 06, IEEE Computer Society, 2000, pp. 3895-3898.
25. F. Millioz, N. Martin, Time-frequency segmentation for engine speed monitoring, in: Thirteenth International Congress on Sound and Vibration, ICSV13, 2006.
26. R. Zimroz, F. Millioz, N. Martin, A procedure of vibration analysis from planetary gearbox under non-stationary cyclic operations by instantaneous frequency estimation in time-frequency domain, in: Seventh International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM 2010 and MFPT 2010, 2010.
27. R. Zimroz, J. Urbanek, T. Barszcz, W. Bartelmus, F. Millioz, and N. Martin Measurement of instantaneous shaft speed by advanced vibration signal processing - application to wind turbine gearbox Metrol. Meas. Syst. XIII 2011 701 712
28. C. Yiakopoulos, K. Gryllias, I. Antoniadis, Instantaneous frequency estimation in rotating machinery using a Harmonic Signal Decomposition (HARD) Parametric Method, in: ASME Conference Proceedings, 2009, pp. 1205-1213.
29. M. Jabloun, N. Martin, F. Leonard, and M. Vieira Estimation of the instantaneous amplitude and frequency of non-stationary short-time signals Signal Process. 88 2008 1636 1655
30. J. Urbanek, T. Barszcz, J. Antoni, A two-step procedure for estimation of instantaneous rotational speed with large fluctuations, Mech. Syst. Signal Process. (available online).
31. Z.K. Peng, G. Meng, F.L. Chu, Z.Q. Lang, W.M. Zhang, and Y. Yang Polynomial Chirplet transform with application toinstantaneous frequency estimation IEEE Trans. Instrum. Meas. 60 2011 3222 3229
32. S. Mann, and S. Haykin The chirplet transform: physical considerations IEEE Trans. Signal Process. 43 1995 2745 2761
33. F. Millioz, and M. Davies Sparse detection in the Chirplet transform: application to FMCW radar signals IEEE Trans. Signal Process. 60 2012 2800 2813
34. C.J. Stander, and P.S. Heyns Transmission path phase compensation for gear monitoring under fluctuating load conditions Mech. Syst. Signal Process. 20 2006 1511 1522
35. P. Borghesani, P. Pennacchi, R.B. Randall, and R. Ricci Order tracking for discrete-random separation in variable speed conditions Mech. Syst. Signal Process. 30 2012 1 22
36. P.D. Mcfadden Detecting fatigue cracks in gears by amplitude and phase demodulation of the meshing vibration ASME Trans. J. Vib. Acoust. Stress Reliabil. Des. 108 1986 165 170