Bearing performance degradation assessment using locality preserving projections and Gaussian mixture models

Mechanical Systems and Signal Processing

Volumn 25, Issue 7, 2011, Pages 2573-2588

  Yu, Jianbo ^a  

^a SHANGHAI UNIVERSITY   (China)

Author keywords

Bearing; Bearing performance degradation assessment; Fault diagnosis; Feature extraction; Gaussian mixture model; Locality preserving projections

Indexed keywords

BEARING DEFECT; BEARING PERFORMANCE; BEARING PERFORMANCE DEGRADATION ASSESSMENT; DATA MANIFOLDS; EFFECTIVE TOOL; EUCLIDEAN SPACES; GAUSSIAN MIXTURE MODEL; GLOBAL STRUCTURE; HEALTH ASSESSMENTS; HIGH-DIMENSIONAL; HUMAN INTERVENTION; LOCAL STRUCTURE; LOCALITY PRESERVING PROJECTIONS; LOG LIKELIHOOD; MACHINE PERFORMANCE; POTENTIAL APPLICATIONS; ROOT MEAN SQUARE; SYSTEMATIC FEATURES; WORKING CONDITIONS;

COMMUNICATION CHANNELS (INFORMATION THEORY); DEGRADATION; FAULT DETECTION; FEATURE EXTRACTION; GAUSSIAN DISTRIBUTION; OBJECT RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; RATING;

BEARINGS (STRUCTURAL);

EID: 79960043301     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2011.02.006     Document Type: Article

References (33)

1. A.K.S. Jardine, D. Lin, and D. Banjevic A review on machinery diagnostics and prognostics implementing condition-based maintenance Mechanical Systems and Signal Processing 20 2006 1483 1510
2. D. Tandon, and A. Choudhury A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings Tribology International 32 1999 469 480 (Pubitemid 30550533)
3. W.J. Wang, and P.D. McFadden Early detection of gear failure by vibration analysis I. Calculation of the timefrequency distribution Mechanical Systems and Signal Processing 7 1993 193 203
4. S. Orhan, N. Akturk, and V. Celik Vibration monitoring for defect diagnosis of rolling element bearings as a predictive maintenance tool: comprehensive case studies NDT&E International 39 2006 293 298 (Pubitemid 43061170)
5. 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 Mechanical Systems and Signal Processing 15 2001 945 962 (Pubitemid 33112620)
6. H. Ocak, and K. Oparo A estimation of the running speed and bearing defect frequencies of an induction motor from vibration data Mechanical Systems and Signals Processing 18 2004 515 533
7. B. Li, M.Y. Chow, Y. Tipsuwan, and J.C. Hung Neural-newwork-based motor rolling bearing fault diagnosis IEEE Transactions on Industrial Electronics 47 2000 1060 1068
8. Q. Meng, and L. Qu Rotating machinery fault diagnosis using Wigner distribution Mechanical Systems and Signal Processing 5 1991 155 166
9. R. Rubini, and U. Meneghetti Application of the envelope and wavelet transform analyses for the diagnosis of incipient faults in ball bearings Mechanical Systems and Signal Processing 15 2001 287 302 (Pubitemid 32409308)
10. G.Y. Luo, D. Osypiw, and M. Irle Real-time condition monitoring by significant and natural frequencyies analysis of vibration signal with wavelet filter and autocorrelation enhancement Journal of Sound and Vibration 284 2005 567 582
11. H. Ocak, K.A. Loparo, and F.M. Discenzo Online tracking of bearing wear using wavelet packet decomposition and probabilistic modeling: a method for bearing prognostics Journal of Sound and Vibration 302 2007 951 961 (Pubitemid 46435577)
12. A. Malhi, and R.X. Gao PCA-based feature selection scheme for machine defect classification IEEE Transactions on Instrumentation and Measurement 53 2004 1517 1525
13. J.E. Jackson A Users Guide to Principal Components 1991 Wiley New York
14. L. Liao, and J. Lee A novel method for machine performance degradation assessment based on fixed cycle features test Journal of Sound Vibration 326 2009 894 908
15. S. Zhang, M. Hodkiewicz, L. Ma, J. Mathew, Machinery condition prognosis using multivariate analysis, in: The First World Congress of Engineering Asset Management, Gold Coast, Australia, 2006, pp. 18.
16. S. Roweis, and L. Saul Nonlinear dimensionality reduction by locally linear embedding Science 290 2000 2323 2326 (Pubitemid 32041578)
17. M. Belkin, and P. Niyogi Laplacian eigenmaps for dimensionality reduction and data representation Neural Computation 15 2003 1373 1396 (Pubitemid 37049796)
18. J. Tenenbaum, D.D. Silva, and J. Langford A global geometric framework for nonlinear dimensionality reduction Science 290 2000 2319 2323 (Pubitemid 32041577)
19. X.F. He, P. Niyogi, Locality preserving projections, in: Proceedings of the Conference on Advances in Neural Information Processing Systems, 813 December 2003, Vancouver, Canada, MIT Press, Cambridge, MA, 2004, pp. 18.
20. F. Xi, Q. Sun, and G. Krishnappa Bearing diagnostics based on pattern recognition of statistical parameters Journal of Vibration and Control 6 2000 75 92
21. R. Huang, L. Xi, X. Li, C.R. Liu, H. Qiu, and J. Lee Residual life predictions for ball bearings based on self-organizing map and back propagation neural network methods Mechanical Systems and Signal Processing 21 2007 193 207 (Pubitemid 44550081)
22. R. Yan, and R.G. Gao Complexity as a measure for machine health evaluation IEEE Transactions on Instrumentation and Measurement 53 2004 1327 1334
23. Y. Pan, J. Chen, and L. Guo Robust bearing performance degradation assessment method based on improved wavelet packet - support vector data description Mechanical Systems and Signal Processing 23 2009 669 681
24. H. Qiu, J. Lee, J. Lin, and G. Yu Robust performance degradation assessment methods for enhanced rolling element bearing prognostics Advanced Engineering Informatics 17 2003 127 140
25. W. Navidi Statistics for Engineers and Scientists 1 edition 2004 McGraw-Hill Science/Engineering/Math
26. H. Eriti, A. Uçar, and Y. Demir Wavelet-based feature extraction and selection for classification of power system disturbances using support vector machines Electric Power Systems Research 80 7 2010 743 752
27. X.F. He, S. Yan, Y. Hu, P. Niyogi, and H. Zhang Face recognition using laplacianfaces IEEE Transactions on Pattern Analysis and Machine Intelligence 27 2005 328 340 (Pubitemid 40377326)
28. A. Dempster, N. Laird, and D. Rubin Maximum likelihood estimation from incomplete data via the EM algorithm Journal of the Royal Statistical Society 30 1977 1 38
29. J.M. Lucas, and M.S. Saccucci Exponentially weighted moving average control schemes: properties and enhancements Technometrics 32 1990 1 29
30. E.B. Martin, and A.J. Morris Non-parametric confidence bounds for process performance monitoring charts Journal of Process Control 6 1996 349 358 (Pubitemid 126375553)
31. Bearing Data Center, Case Western Reserve University. Available from: 〈 http://www.eecs.cwru.edu/laboratory/Bearing 〉 (accessed 10.06.09).
32. J. Lee, H. Qiu, G. Yu, J. Lin, Rexnord Technical Services, Bearing Data Set, IMS, University of Cincinnati, NASA Ames Prognostics Data Repository. 〈 http://ti.arc.nasa.gov/project/prognostic-data-repository 〉, NASA Ames, Moffett Field, CA, (accessed 09.05.09)
33. T. Williams, X. Riabdeneira, S. Billington, and T. Kurfess Rolling element bearing diagnostics in run-to-failure lifetime testing Mechanical Systems and Signal Processing 15 2001 979 993 (Pubitemid 33112622)