New techniques of local damage detection in machinery based on stochastic modelling using adaptive Schur filter

Applied Acoustics

Volumn 77, Issue , 2014, Pages 130-137

  Makowski, Ryszard ^a   Zimroz, Radoslaw ^a  

^a WROCLAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Adaptive Schur filter; Gearbox; Local damage detection; Parametric time frequency representation; Vibration analysis

Indexed keywords

ADAPTIVE SCHUR FILTER; AUTO REGRESSIVE PROCESS; GEARBOX; NONSTATIONARY SIGNALS; SECOND ORDER STATISTICS; SIGNAL PROCESSING ALGORITHMS; TIME-FREQUENCY REPRESENTATIONS; VIBRATION SIGNAL ANALYSIS;

ALGORITHMS; BELT CONVEYORS; DAMAGE DETECTION; FILTRATION; FREQUENCY BANDS; MACHINERY; REFLECTION; VIBRATION ANALYSIS;

SIGNAL DETECTION;

EID: 84890040545     PISSN: 0003682X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apacoust.2013.05.015     Document Type: Article

References (29)

1. J. Antoni, F. Bonnardot, A. Raad, and M. Badaoui Cyclostationary modelling of rotating machine vibration signals Mech Syst Signal Process 18 2004 1285 1314
2. J. Antoni Blind separation of vibration components: principles and demonstrations Mech Syst Signal Process 19 2005 1166 1180 (Pubitemid 41562147)
3. J. Antoni Cyclostationarity by examples Mech Syst Signal Process 23 4 2009 987 1036
4. T. Barszcz Decomposition of vibration signals into deterministic and nondeterministic components and its capabilities of fault detection and identification Int J Appl Math Comput Sci 19 2 2009 327 335
5. T. Barszcz, and A. Jablonski A novel method of optimal band selection for vibration signal demodulation Mech Syst Signal Process 25 1 2011 431 451
6. W. Bartelmus, F. Chaari, R. Zimroz, and M. Haddar Modelling of gearbox dynamics under time-varying nonstationary load for distributed fault detection and diagnosis Eur J Mech A Solids 29 4 2010 637 646
7. F. Chaari, W. Bartelmus, R. Zimroz, T. Fakhfakh, and M. Haddar Gearbox vibration signal amplitude and frequency modulation Shock Vib 19 2012 635 652 http://dx.doi.org/10.3233/SAV-2011-0656
8. M. Cocconcelli, L. Bassi, C. Secchi, C. Fantuzzi, and R. Rubini An algorithm to diagnose ball bearing faults in servomotors running arbitrary motion profiles Mech Syst Signal Process 27 2012 667 682
9. F. Combet, and L. Gelman Optimal filtering of gear signals for early damage detection based on the spectral kurtosis Mech Syst Signal Process 23 4 2009 652 668
10. F. Combet, and R. Zimroz A new method for the estimation of the instantaneous speed relative fluctuation in a vibration signal based on the short time scale transform Mech Syst Signal Process 23 2009 1382 1397
11. L. Gelman, R. Zimroz, J. Birkel, H. Leigh-Firbank, D. Simms, and B. Waterland Adaptive vibration condition monitoring technology for local tooth damage in gearboxes Insight: Non-Destr Test Cond Monit 47 8 2005 461 464 (Pubitemid 41131996)
12. S. Haykin Adaptive filter theory 1996 Prentice-Hall New Jersey
13. S.M. Kay Modern spectral estimation 1988 Prentice-Hall Englewood Cliffs (NJ)
14. D.T.L. Lee, M. Morf, and B. Friedlander Recursive least squares ladder estimation algorithms IEEE Trans Circ Syst 28 6 1981 627 641
15. J. Lin, and M. Zuo Gearbox fault diagnosis using adaptive wavelet filter Mech Syst Signal Process 17 6 2003 1259 1269
16. Lopatka M, Adam O, Laplanche C, Zarzycki J, Motsch J-F. Effective analysis of non-stationary short-time signals based on the adaptive Schur filter. In: IEEE/SP 13th workshop on statistical signal processing; 2005. p. 251-6.
17. M. Lopatka, O. Adam, C. Laplanche, J-F. Motsch, and J. Zarzycki Sperm whale click analysis using time-variant lattice filter Appl Acoust 67 2006 1118 1133 (Pubitemid 44277934)
18. R. Makowski, and R. Zimroz Adaptive bearings vibration modelling for diagnosis Lect Notes Comput Sci (including subseries Lecture Notes in Artificial Intelligence and Notes in Bioinformatics) 6943 LNAI 2011 248 259
19. 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 Mech Syst Signal Process 38 2013 65 77
20. P.D. McFadden, and J.D. Smith Vibration monitoring of rolling element bearings by the high-frequency resonance technique - a review Tribol Int 17 1984 3 10 (Pubitemid 14561780)
21. Z.K. Peng, and F.L. Chu Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography Mech Syst Signal Process 18 2 2004 199 221
22. R.B. Randall, and J. Antoni Rolling element bearing diagnostics - a tutorial Mech Syst Signal Process 25 2 2011 485 520
23. R. Ricci, and P. Pennacchi Diagnostics of gear faults based on EMD and automatic selection of intrinsic mode functions Mech Syst Signal Process 25 2011 821 838
24. P.D. Samuel, and D.J. Pines A review of vibration-based techniques for helicopter transmission diagnostics J Sound Vib 282 1-2 2005 475 508 (Pubitemid 40583902)
25. J. Urbanek, J. Antoni, and T. Barszcz Detection of signal component modulations using modulation intensity distribution Mech Syst Signal Process 28 2012 399 413
26. J. Urbanek, T. Barszcz, R. Zimroz, and J. Antoni Application of averaged instantaneous power spectrum for diagnostics of machinery operating under non-stationary operational conditions measurement J Int Meas Confeder 45 7 2012 1782 1791
27. J. Zarzycki Multidimensional nonlinear Schur parametrization of non-Gaussian stochastic signals, Part One: statement of the problem Multidim Syst Signal Process 15/3 2004 217 241
28. R. Zimroz R, and W. Bartelmus Gearbox condition estimation using cyclo-stationary properties of vibration signal Key Eng Mater 413-414 2009 471 478
29. R. Zimroz, and W. Bartelmus Application of adaptive filtering for weak impulsive signal recovery for bearings local damage detection in complex mining mechanical systems working under condition of varying load Diffusion and Defect Data Pt. B: Solid State Phenomena 180 2012 250 257