Classification of time-frequency representations based on two-direction 2DLDA for gear fault diagnosis

Applied Soft Computing Journal

Volumn 11, Issue 8, 2011, Pages 5299-5305

  Li, Bing ^a   Zhang, Pei Lin ^a   Liu, Dong Sheng ^a   Mi, Shuang Shan ^a   Liu, Peng Yuan ^a  

^a ORDNANCE ENGINEERING COLLEGE   (China)

Author keywords

Fault diagnosis; Feature extraction; Gear; S transform; Time frequency representation (TFR); Two direction two dimensional line discriminant analysis (TD 2DLDA)

Indexed keywords

AUTOMATIC CLASSIFICATION; COMPUTATION COSTS; FEATURE EXTRACTION TECHNIQUES; GEAR FAULT DIAGNOSIS; INPUT FEATURES; LINEAR DISCRIMINATIVE ANALYSIS; MATRIX; MECHANICAL FAULTS; OPERATING STATE; S TRANSFORM; S TRANSFORMS; SHORT TIME FOURIER TRANSFORMS; STRUCTURE INFORMATION; TIME FREQUENCY; TIME FREQUENCY ANALYSIS; TIME-FREQUENCY REPRESENTATIONS; TWO DIRECTIONS; VIBRATION SIGNAL; VIBRATION SIGNAL ANALYSIS;

COMMUNICATION; DISCRIMINANT ANALYSIS; FAILURE ANALYSIS; FEATURE EXTRACTION; FOURIER TRANSFORMS; GEARS; MATRIX ALGEBRA; TWO DIMENSIONAL; WAVELET ANALYSIS; WAVELET TRANSFORMS;

VIBRATION ANALYSIS;

EID: 80053561353     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2011.03.030     Document Type: Article

References (44)

1. G. Dalpiaz, A. Rivola, and R. Rubini Effectiveness and sensitivity of vibration processing techniques for local fault detection in gears Mechanical Systems and Signal Processing 14 3 2000 387 412
2. N. Saravanan, V.N.S. Kumar Siddabattuni, and K.I. Ramachandran Fault diagnosis of spur bevel gear box using artificial neural network (ANN), and proximal support vector machine (PSVM) Applied Soft Computing 10 1 2010 344 360
3. S.J. Loutridis Gear failure prediction using multiscale local statistics Engineering Structures 30 5 2008 1214 1223 (Pubitemid 351461168)
4. M.E. Badaoui, J. Antoni, F. Guillet, J. Daniure, and P. Velex Use of the moving cepstrum integral to detect and localise tooth spalls in gears Mechanical Systems and Signal Processing 15 5 2001 873 885 (Pubitemid 33112617)
5. J. Ma, and C.J. Li Gear defect detection through model-based wideband demodulation of vibrations Mechanical Systems and Signal Processing 10 5 1996 653 665 (Pubitemid 126360957)
6. M.A. Jafarizadeh, R. Hassannejad, M.M. Ettefagh, and S. Chitsaz Asynchronous input gear damage diagnosis using time averaging and wavelet filtering Mechanical Systems and Signal Processing 22 1 2008 172 201 (Pubitemid 350008015)
7. H. Oehlmann, D. Brie, M. Tomczak, and A. Richard A method for analysing gearbox faults using time-frequency representations Mechanical Systems and Signal Processing 11 4 1997 529 545 (Pubitemid 127401965)
8. W.J. Wang, and P.D. McFadden Early detection of gear failure by vibration analysis - II. Interpretation of the time-frequency distribution using image processing techniques Mechanical Systems and Signal Processing 7 3 1993 205 215
9. N. Baydar, and A. Ball A comparative study of acoustic and vibration signals in detection of gear failures using Wigner-Ville distribution Mechanical Systems and Signal Processing 15 6 2001 1091 1107 (Pubitemid 34162234)
10. G. Meltzer, and Y.Y. Ivanov Fault detection in gear drives with non-stationary rotational speed - Part I. The time-frequency approach Mechanical Systems and Signal Processing 17 5 2003 1033 1047
11. S.J. Loutridis Damage detection in gear systems using empirical mode decomposition Engineering Structures 26 12 2004 1833 1841 (Pubitemid 40256881)
12. C. Wang, Y. Zhang, and Z. Zhong Fault diagnosis for diesel valve trains based on time-frequency images Mechanical Systems and Signal Processing 22 8 2008 1981 1993
13. L.-F. Chen, H.-Y. Mark Liao, M-.T. Ko, J.-C. Lin, and G.-J. Yu A new LDA-based face recognition system which can solve the small sample size problem Pattern Recognition 33 2000 1713 1726
14. W. Zuo, D. Zhang, J. Yang, and K. Wang BDPCA plus LDA: a novel fast feature extraction technique for face recognition IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 36 4 2006 946 953 (Pubitemid 44178163)
15. Y. Xu, D. Zhang, F. Song, J.Y. Yang, Z. Jing, and M. Li A method for speeding up feature extraction based on KPCA Neurocomputing 70 4-6 2007 1056 1061 (Pubitemid 46043996)
16. J. Yang, D. Zhang, A.F. Frangi, J.Y. Yang, and P.C.A. Two-Dimensional A new approach to appearance-based face representation and recognition IEEE Transactions on Pattern Analysis and Machine Intelligence 26 1 2004 131 137
17. S. Chen, Y. Zhu, D. Zhang, and J.Y. Yang Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA Pattern Recognition Letters 26 8 2005 1157 1167 (Pubitemid 40556483)
18. M. Li, and B. Yuan 2D-LDA: a statistical linear discriminant analysis for image matrix Pattern Recognition Letters 26 5 2005 527 532 (Pubitemid 40319616)
19. D.U. Cho, U.D. Chang, B.H. Kim, S.H. Lee, Y.L.J. Bae, and S.C. Ha 2D direct LDA algorithm for face recognition Proceedings of the Fourth International Conference on Software Engineering Research, Management and Applications, SERA 2006 2006 245 248 (Pubitemid 47133153)
20. P. Nagabhushan, D.S. Guru, and B.H. Shekar (2D)2 FLD: an efficient approach for appearance based object recognition Neurocomputing 69 7-9 Spec. Iss. 2006 934 940 (Pubitemid 43230407)
21. J. Wang, W. Yang, Y. Lin, and J. Yang Two-directional maximum scatter difference discriminant analysis for face recognition Neurocomputing 72 1-3 2008 352 358
22. Z. Liang, Y. Li, and P. Shi A note on two-dimensional linear discriminant analysis Pattern Recognition Letters 29 16 2008 2122 2128
23. R.G. Stockwell, L. Mansinha, and R.P. Lowe Localization of the complex spectrum: the S transform IEEE Transactions on Signal Processing 44 4 1996 998 1001
24. C. Simon, S. Ventosa, M. Schimmel, A. Heldring, J.J. Dañobeitia, J. Gallart, and A. Mnuel The S-transform and its inverses: side effects of discretizing and filtering IEEE Transactions on Signal Processing 55 10 2007 4928 4937 (Pubitemid 47534659)
25. E. Sejdi, I. Djurovi, and J. Jiang A window width optimized S-transform EURASIP Journal on Advances in Signal Processing 1 2008 1 13
26. B. Samanta Gear fault detection using artificial neural networks and support vector machines with genetic algorithms Mechanical Systems and Signal Processing 18 3 2004 625 644
27. W. Wang, F. Ismail, and F. Golnaraghi A neuro-fuzzy approach to gear system monitoring IEEE Transactions on Fuzzy Systems 12 5 2004 710 723
28. I.A. Abu-Mahfouz A comparative study of three artificial neural networks for the detection and classification of gear faults International Journal of General Systems 34 3 2005 261 277 (Pubitemid 41523698)
29. N. Saravanan, S. Cholairajan, and K.I. Ramachandran Vibration-based fault diagnosis of spur bevel gear box using fuzzy technique Expert Systems with Applications 36 2 2009 3119 3135
30. J.D. Wu, and C.C. Hsu Fault gear identification using vibration signal with discrete wavelet transform technique and fuzzy-logic inference Expert Systems with Applications 36 2 2009 3785 3794
31. Y. Lei, and M.J. Zuo Gear crack level identification based on weighted K nearest neighbor classification algorithm Mechanical Systems and Signal Processing 23 5 2009 1535 1547
32. N. Saravanan, and K.I. Ramachandran A case study on classification of features by fast single-shot multiclass PSVM using Morlet wavelet for fault diagnosis of spur bevel gear box Expert Systems with Applications 36 3 2009 10854 10862
33. P.J. Grother, G.T. Candela, and J.L. Blue Fast implementations of nearest neighbor classifiers Pattern Recognition 30 3 1997 459 465 (Pubitemid 127406431)
34. Y. Wu, K. Ianakiev, and V. Govindaraju Improved k-nearest neighbor classification Pattern Recognition 35 10 2002 2311 2318 (Pubitemid 34812880)
35. J. Amores, N. Sebe, and P. Radeva Boosting the distance estimation: application to the k-nearest neighbor classifier Pattern Recognition Letters 27 3 2006 201 209 (Pubitemid 41689833)
36. J.Z.C. Lai, Y.C. Liaw, and J. Liu Fast k-nearest-neighbor search based on projection and triangular inequality Pattern Recognition 40 2 2007 351 359 (Pubitemid 44635639)
37. R.R. Yager An extension of the naive Bayesian classifier Information Sciences 176 5 2006 577 588 (Pubitemid 41668600)
38. R.O. Duda, P.E. Hart, and D.G. Stork Pattern Classification 2001 Wiley Interscience New York
39. J.N.K. Liu, B.N.L. Li, and T.S. Dillon An improved Naive Bayesian classifier technique coupled with a novel input solution method IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews 31 2 2001 249 256 (Pubitemid 32962043)
40. J.A.K. Suykens, and J. Vandewalle Least squares support vector machine classifiers Neural Processing Letters 9 3 1999 293 300
41. T. Van Gestel, J.A.K. Suykens, B. Baesens, S. Viaene, J. Vanthienen, G. Dedene, B. De Moor, and J. Vandewalle Benchmarking least squares support vector machine classifiers Machine Learning 54 1 2004 5 32
42. J.A.K. Suykens, J. De Brabanter, L. Lukas, and J. Vandewalle Weighted least squares support vector machines: robustness and sparse approximation Neurocomputing 48 2002 85 105 (Pubitemid 36221490)
43. R.P.W. Duin, P. Juszczak, P. Paclik, E. Pekalska, D. de Ridder, D.M.J. Tax, and S. Verzakov PRTools4.1, A Matlab Toolbox for Pattern Recognition 2007 Delft University of Technology
44. LS-SVMlab1.5, http://www.esat.kuleuven.ac.be/sista/lssvmlab/.