Weighted local and global regressive mapping: A new manifold learning method for machine fault classification

Engineering Applications of Artificial Intelligence

Volumn 30, Issue , 2014, Pages 118-128

  Jin, Xiaohang ^a   Yuan, Fang ^b   Chow, Tommy W S ^b   Zhao, Mingbo ^b  

^a ZHEJIANG UNIVERSITY OF TECHNOLOGY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Fault classification; Feature extraction; Unsupervised learning; Vibrations

Indexed keywords

FEATURE EXTRACTION; LEARNING ALGORITHMS; PRINCIPAL COMPONENT ANALYSIS; UNSUPERVISED LEARNING;

BETTER PERFORMANCE; COMPARATIVE ANALYSIS; FAULT CLASSIFICATION; HEALTH CONDITION; LOCALITY PRESERVING PROJECTIONS; MANIFOLD LEARNING; REDUCED DIMENSIONAL SPACE; VIBRATIONS;

MAPPING;

EID: 84896396511     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2014.01.014     Document Type: Article

References (45)

1. Belkin, M.; Niyogi, P.; 2001. Laplacian Eigenmaps and spectral techniques for embedding and clustering. In: Proceeding of the Conference on Advances in Neural Information Processing Systems.
2. R. Casimir, E. Boutleux, G. Clerc, and A. Yahoui The use of features selection and nearest neighbors rule for faults diagnostic in induction motors Eng. Appl. Artif. Intell. 19 2 2006 169 177 (Pubitemid 43124070)
3. V. Chandola, A. Banerjee, and V. Kumar Anomaly detection: a survey ACM Comput. Surv. 41 3 2009 1 58
4. T.W.S. Chow, and S. Hai Induction machine fault diagnostic analysis with wavelet technique IEEE Trans. Ind. Electron. 51 3 2004 558 565
5. J. Courrech Envelope analysis for effective rolling-element fault detection-fact or fiction? Up Time Mag. 8 2000 14 17
6. J. Daubechies Orthonormal bases of compact supported wavelets Commun. Pure Appl. Math. 41 7 1988 909 996
7. G. Georgoulas, M.O. Mustafa, I.P. Tsoumas, J.A. Antonino-Daviu, V. Climente-Alarcon, C.D. Stylios, and G. Nikolakopoulos Principal component analysis of the start-up transient and hidden markov modeling for broken rotor bar fault diagnosis in asynchronous machines Expert Syst. Appl. 40 17 2013 7024 7033
8. S. Goumas, M. Zervakis, A. Pouliezos, and G.S. Stavrakakis Intelligent on-line quality control of washing machines using discrete wavelet analysis features and likelihood classification Eng. Appl. Artif. Intell. 14 5 2001 655 666 (Pubitemid 34182391)
9. W. He, Z.N. Jiang, and K. Feng Bearing fault detection based on optimal wavelet filter and sparse code shrinkage Measurement 42 7 2009 1092 1102
10. He, X.F.; Niyogi, P.; 2003. Locality preserving projections. In: Proceeding of the Conference on Advances in Neural Information Processing Systems.
11. X.F. He, S.C. Yan, Y.X. Hu, P. Niyogi, and H.J. Zhang Face recognition using laplacianfaces IEEE Trans. Pattern Anal. Mach. Intell. 27 3 2005 328 340 (Pubitemid 40377326)
12. R.B.W. Heng, and M.J.M. Nor Statistical analysis of sound and vibration signals for monitoring rolling element bearing condition Appl. Acoust. 53 1 1998 211 226 (Pubitemid 128387177)
13. N.Q. Hu, L.R. Xia, F.S. Gu, and G.J. Qin A novel transform demodulation algorithm for motor incipient fault detection IEEE Trans. Instrum. Meas. 60 2 2011 480 487
14. X. Jin, E.W.M. Ma, L.L. Cheng, and M. Pecht Health monitoring of cooling fans based on Mahalanobis distance with mRMR feature selection IEEE Trans. Instrum. Meas. 61 8 2012 2222 2229
15. X. Jin, and T.W.S. Chow Anomaly detection of cooling fan and fault classification of induction motor using Mahalanobis-Taguchi system Expert Syst. Appl. 40 15 2013 5787 5795
16. X. Jin, M. Zhao, T.W.S. Chow, and M. Pecht Trace ratio linear discriminant analysis for bearing fault diagnosis IEEE Trans. Ind. Electron. 61 5 2014 2441 2451
17. A. Lebaroud, and G. Clerc Accurate diagnosis of induction machine faults using optimal time-frequency representations Eng. Appl. Artif. Intell. 22 4-5 2009 815 822
18. B. Li, M.Y. Chow, Y. Tipsuwan, and J.C. Hung Neural-network-based motor rolling bearing fault diagnosis IEEE Trans. Ind. Electron. 47 5 2000 1060 1069
19. R. Li, and D. He Rotational machine health monitoring and fault detection using EMD-based acoustic emission feature quantification IEEE Trans. Instrum. Meas. 61 4 2012 990 1001
20. K.A. Loparo Bearings Vibration Data Set 2013 Case Western Reserve University 〈http://www.eecs.cwru.edu/laboratory/bearing/ download.htmâŒ
21. A. Malhi, and R.X. Gao PCA-based feature selection scheme for machine defect classification IEEE Trans. Instrum. Meas. 53 6 2004 1517 1525
22. A.M. Martinez, and A.C. Kak PCA versus LDA IEEE Trans. Pattern Anal. Mach. Intell. 23 2 2001 228 233 (Pubitemid 32254716)
23. H.R. Martin, and F. Honarvar Application of statistical moments to bearing failure detection Appl. Acoust. 44 1 1995 67 77
24. Q. Miao, L. Cong, and M. Pecht Identification of multiple characteristic components with high accuracy and resolution using the zoom interpolated discrete Fourier transform Meas. Sci. Technol. 22 5 2011 055701
25. H. Oh, T. Shibutani, and M. Pecht Precursor monitoring approach for reliability assessment of cooling fans J. Intell. Manuf. 23 2 2012 173 178
26. M. Riera-Guasp, M. Pineda-Sanchez, J. Perez-Cruz, R. Puche-Panadero, J. Roger-Folch, and J.A. Antonino-Daviu Diagnosis of induction motor faults via Gabor analysis of the current in transient regime IEEE Trans. Instrum. Meas. 61 6 2012 1583 1596
27. J.W. Sammon A nonlinear mapping for data structure analysis IEEE Trans. Comput. 18 5 1969 401 409
28. S. Sheng, L. Zhang, and R.X. Gao A systematic sensor-placement strategy for enhanced defect detection in rolling bearings IEEE Sens. J. 6 5 2006 1346 1354 (Pubitemid 44523163)
29. J.B. Tenenbaum, V. Silva, and J.C. Langford A global geometric framework for nonlinear dimensionality reduction Science 290 5500 2000 2319 2323 (Pubitemid 32041577)
30. P. Tse, D.D. Wang, and D. Atherton Harmony theory yields robust machine fault-diagnostic systems based on learning vector quantization classifiers Eng. Appl. Artif. Intell. 9 5 1996 487 498 (Pubitemid 126364680)
31. W. Wang A prognosis model for wear prediction based on oil-based monitoring J. Oper. Res. Soc. 58 7 2007 887 893 (Pubitemid 46869973)
32. Y. Wang, Q. Miao, E.W.M. Ma, K.L. Tsui, and M.G. Pecht Online anomaly detection for hard disk drives based on Mahalanobis distance IEEE Trans. Reliab. 62 1 2013 136 145
33. Y.F. Wang, and P.J. Kootsookos Modeling of low shaft speed bearing faults for condition monitoring Mech. Syst. Sig. Process. 12 3 1998 415 426 (Pubitemid 128379481)
34. P. Weber, G. Medina-Oliva, C. Simon, and B. Iung Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas Eng. Appl. Artif. Intell. 25 4 2012 671 682
35. S. Wu, and T.W.S. Chow Induction machine fault detection using SOM-based RBF neural networks IEEE Trans. Ind. Electron. 51 1 2004 183 194
36. R. Yan, and R.X. Gao Energy-based feature extraction for defect diagnosis in rotary machines IEEE Trans. Instrum. Meas. 58 9 2009 3130 3139
37. Yang, Y.; Nie, F.; Xiang, S.; Zhuang, Y.; Wang, W.; 2010. Local and global regressive mapping for manifold learning with out-of-sample extrapolation. In: Proceedings of the 24th AAAI Conference on Artificial Intelligence.
38. Yang, Y.; Xu, D.; Nie, F.; Luo, J.; Zhuang, Y.; 2009. Ranking with local regression and global alignment for cross media retrieval. In: Proceedings of the 17th ACM International Conference on Multimedia, Beijing, China.
39. J. Yu Bearing performance degradation assessment using locality preserving projections and Gaussian mixture models Mech. Syst. Sig. Process. 25 7 2011 2573 2588
40. J. Yu Local and nonlocal preserving projection for bearing defect classification and performance assessment IEEE Trans. Ind. Electron. 59 5 2012 2363 2376
41. J. Yu Health condition monitoring of machines based on hidden Markov model and contribution analysis IEEE Trans. Instrum. Meas. 61 8 2012 2200 2211
42. J.H. Zhou, C.K. Pang, Z.W. Zhong, and F.L. Lewis Tool wear monitoring using acoustic emissions by dominant-feature identification IEEE Trans. Instrum. Meas. 60 2 2011 547 559
43. E. Zio, and G. Gola A neuro-fuzzy technique for fault diagnosis and its application to rotating machinery Reliab. Eng. Syst. Saf. 94 1 2009 78 88
44. E. Zio, and I.C. Popescu Recognizing signal trends on-line by a fuzzy-logic-based methodology optimized via genetic algorithms Eng. Appl. Artif. Intell. 20 6 2007 831 849 (Pubitemid 46962293)
45. M. Zhao, X. Jin.; Z. Zhang, and B. Li Fault diagnosis of rolling element bearing via discriminative subspace learning: visualization and classification Expert Syst. Appl. 41 7 2014 3391 3401