Vibrodiagnostics of gearboxes using NBV-based classifier: A pattern recognition approach

Mechanical Systems and Signal Processing

Volumn 38, Issue 1, 2013, Pages 5-22

  Dybała, Jacek ^a  

^a WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Condition monitoring; Feature subset evaluation; Pattern recognition; Planetary gearbox; Semi soft classification

Indexed keywords

BUCKETWHEEL EXCAVATORS; CLASSIFICATION TASKS; FEATURE SUBSET; GEARBOX VIBRATION SIGNAL; INDUSTRIAL MACHINERY; MACHINE CONDITION MONITORING; NON-STATIONARY CONDITION; PLANETARY GEARBOXES;

ALGORITHMS; CONDITION MONITORING; EARTHMOVING MACHINERY; EXTRACTION; FAULT DETECTION; PATTERN RECOGNITION;

CLASSIFICATION (OF INFORMATION);

EID: 84876931063     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2012.08.021     Document Type: Article

References (30)

1. W. Bartelmus, and R. Zimroz A new feature for monitoring the condition of gearboxes in non-stationary operating conditions Mech. Syst. Signal Process. 23 5 2009 1528 1534 10.1016/j.ymssp.2009.01.014
2. A.L. Blum, and P. Langley Selection of relevant features and examples in machine learning Artif. Intell. 97 1-2 1997 245 271 10.1016/S0004-3702(97)00063- 5
3. M. Dash, and H. Liu Feature selection for classification Intell. Data Anal. 1 1-4 1997 131 156 10.1016/S1088-467X(97)00008-5
4. J. Dybała, Comparative analysis of Support Vector Machine and Nearest Boundary Vector classifier, in: Proceedings of the 8th International Conference on Reliability, Maintainability and Safety (ICRMS'2009), Chengdu, China, pp. 963-965, 〈http://dx.doi.org/10.1109/ICRMS.2009.5269976〉, July 20-24, 2009.
5. M.E. Farmer, S. Bapna, A.K. Jain, Large Scale Feature Selection Using Modified Random Mutation Hill Climbing, in: Proceedings of the 17th International Conference on Pattern Recognition (ICPR'04), vol. 2, pp. 287-290, 〈http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334169〉, 2004.
6. K. Fukunaga Introduction to Statistical Pattern Recognition 1972 Academic Press New York
7. S. García, J. Derrac, J.R. Cano, F. Herrera, Prototype selection for nearest neighbor classification: survey of methods, Technical Report T-4-2010-PS Methods, Available from: 〈http://sci2s.ugr.es/pstax/pdf/T-4- 2010-PSMethods.pdf〉, (August 2012).
8. S. García, J. Derrac, J.R. Cano, and F. Herrera Prototype selection for nearest neighbor classification: taxonomy and empirical study IEEE Trans. Pattern Anal. Mach. Intell. 34 3 2012 417 435 10.1109/TPAMI.2011.142 Available from: (August 2012)
9. I. Guyon, and A. Elisseeff An introduction to variable and feature selection J. Mach. Learn. Res.: Special Issue Variable Feature Sel. 3 2003 1157 1182 Available from (August 2012).
10. R. Hecht-Nielsen Counterpropagation networks Appl. Opt. 26 23 1987 4979 4984
11. R. Hecht-Nielsen Applications of counterpropagation networks Neural Networks 1 2 1988 131 139 10.1016/0893-6080(88)90015-9
12. R. Kohavi, and G.H. John Wrappers for features subset selection Artif. Intell. 97 1-2 1997 273 324 Available from (August 2012).
13. X. Liu, Z. Hao, X. Yang, and X. Deng Robustness of semi-supervised learning algorithm LLGC trained using soft labels for misclassified data J. Inf. Comput. Sci. 7 9 2010 1827 1837 Available from (August 2012).
14. H. Liu, and H. Motoda Feature Selection for Knowledge Discovery and Data Mining 1998 Kluwer Academic Publishers Boston
15. H. Liu, R. Setiono, Feature selection and classification - a probabilistic wrapper approach, in: Proceedings of the 9th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA-AIE'96), Fukuoka, Japan, 1996, pp. 419-424.
16. H. Liu, R. Setiono, A probabilistic approach to feature selection: a filter solution, in: Proceedings of the 13th International Conference on Machine Learning (ICML96), Bari, Italy, 1996, pp. 319-327.
17. T. Marill, and D.M. Green On the effectiveness of receptors in recognition systems IEEE Trans. Inf. Theory 9 1 1963 11 17 10.1109/TIT.1963. 1057810
18. P.D. McFadden A technique for calculating the time domain averages of the vibration of the individual planet gears and the sun gear in an epicyclic gearbox J. Sound Vib. 144 1 1991 163 172 10.1016/0022-460X(91)90739-7
19. P. Pudil, J. Novovičová, and J. Kittler Floating search methods in feature selection Pattern Recognition Lett. 15 11 1994 1119 1125 10.1016/0167-8655(94)90127-9
20. B.D. Ripley Neural networks and related methods for classification J. R. Stat. Soc. Ser. B (Methodological) 56 3 1994 409 456 Available from (August 2012).
21. B.D. Ripley Pattern Recognition and Neural Networks 1996 Cambridge University Press Cambridge
22. G.L. Ritter, H.B. Woodruff, S.R. Lowry, and T.L. Isenhour An algorithm for a selective nearest neighbor decision rule IEEE Trans. Inf. Theory 21 6 1975 665 669 10.1109/TIT.1975.1055464
23. 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 10.1016/j.jsv.2004.02.058
24. W. Siedlecki, and J. Sklansky A note on genetic algorithms for large-scale feature selection Pattern Recognition Lett. 10 5 1989 335 347 10.1016/0167-8655(89)90037-8
25. D.B. Skalak, Prototype and feature selection by sampling and random mutation hill climbing algorithms, in: Proceedings of the Eleventh International Conference on Machine Learning, New Brunswick, New Jersey, USA, 1994, pp. 293-301.
26. S.D. Stearns, On selecting features for pattern classifiers, in: Proceedings of the 3rd International Conference on Pattern Recognition, Coronado, California, USA, 1976, pp. 71-75.
27. W.J. Williams, and E.J. Zalubas Helicopter transmission fault detection via time-frequency, scale and spectral methods Mech. Syst. Signal Process. 14 4 2000 545 559 10.1006/mssp.2000.1296
28. J. Yang, and V. Honavar Feature subset selection using a genetic algorithm IEEE Intell. Syst. their Appl. 13 2 1998 44 49 10.1109/5254.671091
29. R. Zimroz, and W. Bartelmus Gearbox condition estimation using cyclo-stationary properties of vibration signal Key Eng. Mater. 413-414 2009 471 478 10.4028/www.scientific.net/KEM.413-414.471
30. R. Zimroz, and A. Bartkowiak Investigation on spectral structure of gearbox vibration signals by principal component analysis for condition monitoring purposes J. Phys.: Conf. Ser. 305 1 2011 10.1088/1742-6596/305/1/ 012075