Two simple multivariate procedures for monitoring planetary gearboxes in non-stationary operating conditions

Mechanical Systems and Signal Processing

Volumn 38, Issue 1, 2013, Pages 237-247

  Zimroz, Radoslaw ^a   Bartkowiak, Anna ^b  

^a WROCLAW UNIVERSITY OF TECHNOLOGY   (Poland)

^b UNIVERSITY OF WROC AW   (Poland)

Author keywords

Canonical Discriminant Analysis (CDA); Condition monitoring; Nonstationary operations; Planetary gearbox; Principal Component Analysis (PCA); Vibration

Indexed keywords

CANONICAL DISCRIMINANT ANALYSIS; GEOMETRIC INTERPRETATION; MISCLASSIFICATION RATES; NONSTATIONARY; PLANETARY GEARBOXES; SCIENTISTS AND ENGINEERS; SPECTRAL REPRESENTATIONS; VIBRATION;

CONDITION MONITORING; DATA PROCESSING; DISCRIMINANT ANALYSIS; EARTHMOVING MACHINERY; FACE RECOGNITION; LOADING; MULTIVARIANT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS;

GEARS;

EID: 84876913015     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2012.03.022     Document Type: Article

References (37)

1. 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
2. W. Bartelmus, and R. Zimroz A new feature for monitoring the condition of gearboxes in nonstationary operating systems Mech. Syst. Signal Process. 23 5 2009 28 1534
3. W. Bartelmus, and R. Zimroz Vibration condition monitoring of planetary gearbox under varying external load Mech. Syst. Signal Process. 23 1 2009 246 257
4. T. Barszcz Advanced Methods for Condition Monitoring of Machinery in Distributed Online Monitoring and Diagnostic System 2008 ITE Press Radom
5. A. Bartkowiak, Anomaly, novelty, one-class classification: a short introduction, in: A. Abraham, K. Saeed, Vaclav Snasel (Eds.), Computer Information Systems and Industrial Management Applications (CISIM), Proceedings of the IEEE Xplore, 2010, pp. 1-6, doi:10.1109/CISIM.2010.5643699.
6. A. Bartkowiak, and A. Szustalewicz Two non-conventional methods for visualisation of multivariate two-group data Biocybernetics Bioeng. 20 4 2000 5 20
7. N. Baydar, and A. Ball A comparative study of acoustic and vibration signals in detection of gear failures using Vigner-Ville distribution Mech. Syst. Signal Process. 15 6 2001 1091 1107
8. N. Baydar, Q. Chen, A. Ball, and U. Kruger Detection of incipient tooth defect in helical gears using multivariate statistics Mech. Syst. Signal Process. 15 2 2001 303 321
9. A. Bellino, A. Fasanoa, L. Garibaldi, and S. Marchesiello PCA-based detection of damage in time-varying systems Mech. Syst. Signal Process. 24 2010 2250 2260
10. C. Cempel, and M. Tabaszewski Multidimensional condition monitoring of machines in nonstationary operation Mech. Syst. Signal Process. 21 3 2007 1233 1241
11. R.O. Duda, P.E. Hart, and D.G. Stork Pattern Classification 2nd Edition 2001 Wiley New York
12. J. Dybala, and S. Radkowski Geometrical method of selection of features of diagnostic signals Mech. Syst. Signal Process. 21 2 2007 761 779
13. Z.K. Feng, and F.L. Chu Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with applications Mech. Syst. Signal Process. 18 2 2004 199 221
14. Q. He, R. Yan, F. Kong, and R. Du Machine condition monitoring using principal component representations Mech. Syst. Signal Process. 23 2 2009 446 466
15. I.T. Jolliffe Principal Component Analysis 2nd Edition 2002 Springer New York
16. P.A. Lachenbruch Discriminant Analysis 1975 Hafner Press London
17. G. Liao, S. Liu, T. Shi, and G. Zhang Gearbox condition monitoring using self-organizing feature maps IMechE: J.Mech. Eng. Sci. 218 1 2004 119 129
18. D.F. Morrison Multivariate Statistical Methods 3rd Edition 1990 McGraw-Hill New York, Singapore
19. B.E. Parker JR Fault diagnosis using statistical change detection in the bispectral domain Mech. Syst. Signal Process. 14 4 2000 561 570
20. 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
21. N. Saravanan, V.N.S. Kumar Siddabattuni, and K.I. Ramachandran A comparative study on classification of features by SVM and PSVM extracted using Morlet wavelet for fault diagnosis of spur bevel gear box Expert Syst. Appl. 35 3 2008 1351 1366
22. M. Timusk, M. Lipsett, and C.K. Mechefske Fault detection using transient machine signals Mech. Syst. Signal Process. 23 2008 1724 1749
23. N.T. Trendafilov, and K. Vines Simple and interpretable discrimination Comput. Stat. Data Anal. 53 2009 979 989
24. I. Trendafilova, M. Cartmell, and W. Ostachowicz Vibration based damage detection in an aircraft wing scaled model using principal component analysis and pattern recognition J. Sound Vib. 313 3-5 2008 560 566
25. I. Trendafilova An automated procedure for detection and identification of ball bearing damage using multivariate statistics and pattern recognition Mech. Syst. Signal Process. 24 2010 1858 1869
26. P. Vecer, M. Kreidl, and R. Smid Gearbox condition monitoring using advanced classifiers Acta Polytech. 50 1 2010 23 29
27. A.-M. Yan, G. Kerschen, P. De Boe, and J.-C. Golinval Structural damage diagnosis under varying environmental conditions - Part I: A linear analysis Mech. Syst. Signal Process. 19 4 2005 847 864
28. R.B. Randall State of the art in monitoring rotating machinery - Part 2 Sound and Vibration 38/5 2004 10 17
29. R.B. Randall State Art Monit. Rotating Mach. - Part 1 Sound Vib. 38/3 2004 14 21
30. J. Antoni, and R.B. Randall Differential diagnosis of gear and bearing faults J. Vib. Acoust. Trans. ASME 124/2 2002 165 171
31. R.B. Randall, J. Antoni, and S. Chobsaard The relationship between spectral correlation and envelope analysis in the diagnostics of bearing faults and other cyclostationary machine signals Mech. Syst. Signal Process. 15/5 2001 945 962
32. H. Endo, and R.B. Randall Enhancement of autoregressive model based gear tooth fault detection technique by the use of minimum entropy deconvolution filter Mech. Syst. Signal Process. 21/2 2007 906 919
33. K. Worden, W.J. Staszewski, and J.J. Hensman Natural computing for mechanical systems research: a tutorial overview Mech. Syst. Signal Process. 25/1 2011 4 111 10.1016/j.ymssp.2010.07.013
34. A. Bartkowiak, and R. Zimroz Data dimension reduction and visualization of multidimensional data with application to gearbox diagnostics data: comparison of several methods Solid State Phenom. 180 2012 177 184 10.4028/www.scientific.net/SSP.180.177
35. A. Bartkowiak, R. Zimroz, Outliers analysis and one class classification approach for planetary gearbox diagnosis, in: Proceedings of the 9th International Conference on Damage Assessment of Structures, DAMAS, J. Phys.: Conf. Ser. 305 012031 (2011).
36. R. Zimroz, A. Bartkowiak, Investigation on spectral structure of gearbox vibration signals by principal component analysis for condition monitoring purposes, in: Proceedings of the 9th International Conference on Damage Assessment of Structures, DAMAS, J. Phys.: Conf. Ser. 305 012075 (2011).
37. A. Bartkowiak, R. Zimroz, Sparse PCA for gearbox diagnostics, in: Proceedings of the Federated Conference on Computer Science and Information Systems, FedCSIS, 18-21 September, Szczecin, Poland, 2011, pp 25-31 (available as the IEEE Xplore Digital Library proceedings).