Fault recognition method for speed-up and speed-down process of rotating machinery based on independent component analysis and Factorial Hidden Markov Model

Journal of Sound and Vibration

Volumn 291, Issue 1-2, 2006, Pages 60-71

  Li, Zhinong ^a,b   He, Yongyong ^b   Chu, Fulei ^b   Han, Jie ^a   Hao, Wei ^a  

^a ZHENGZHOU UNIVERSITY   (China)

^b TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ERROR ANALYSIS; INDEPENDENT COMPONENT ANALYSIS; INFORMATION ANALYSIS; REDUNDANCY;

FACTORIAL HIDDEN MARKOV MODEL; ICA-FHMM; MULTI-CHANNEL DETECTION; SPEED-DOWN PROCESS;

ROTATING MACHINERY;

EID: 30344441829     PISSN: 0022460X     EISSN: 10958568     Source Type: Journal    
DOI: 10.1016/j.jsv.2005.05.020     Document Type: Article

References (30)

1. M. Ingleby, and G.P.L. Ronval Classification of vibration signatures of turbogenerators The Fourth International Conference on Electrical Machines and Drives London, UK 13-15 September 1989 172 176
2. M. Ingleby, and G.P.L. Ronval Automatic taxonomy and modal analysis for vibration diagnosis Fifth International Conference on Electrical Machines and Drives (Conference Publication No. 341), London, UK 11-13 September 1991 237 240
3. T.S. Davies, C.M. Jefferson, and R.M. Mayer Automated synchronization IEE Colloquium on Microcomputer Instrumentation and Control Systems in Power Electronics London, UK 25 April 1988 3/1 3/3
4. M.Q. Xu, W.F. Huang, and J.Z. Zhang Application of Haar wavelet on analysis of vibration signal of rotating machinery in fast run-up state Journal of Vibration Engineering 13 2 2000 216 221
5. X. Liu, Z.Y. Zhao, L.L. Qu, Rotor Monitoring and Diagnosis System, Xi'an Jiatong University Presss, Xi'an, 1991.
6. Z.N. Li, Q.Q. Ding, Z.T. Wu, and C.J. Feng Study on bispectrum-FHMM recognition method in speed-up and speed-down process of rotating machinery Journal of Vibration Engineering 16 2 2003 171 174
7. Z.N. Li, Z.T. Wu, Q.Q. Ding, Y.Y. He, and F.L. Chu Application of wavelet transform and FHMM in fault diagnosis of speed-up and speed-down process of rotating machinery Control Engineering of China 10 2 2003 299 301
8. Z.N. Li, Q.Q. Ding, C.J. Feng, and Z.T. Wu Study on BSI-FHMM recognition method in speed-up & speed-down process of a rotating machinery China Mechanical Engineering 13 20 2002 1730 1733
9. Q.Q. Ding, Z.N. Li, Z.T. Wu, and S.X. Zhen Research on fault diagnosis methods for rotating machines based on factorial hidden Markov model Power Engineering 23 4 2003 2560 2563
10. A. Ypma, A. Leshem, and R.P.W. Duin Blind separation of rotating machine sources: bilinear forms and convolutive mixtures Neurocomputing - Special Issue on ICA/BSS 49 1-4 2003 349 368
11. W.D. Jiao, S.X. Yang, and Z.T. Wu Extracting invariable fault features of rotating machines with multi-ICA networks Journal of Zhejiang University Science 4 5 2003 595 601
12. A. Ypma, Learning Methods for Machine Vibration Analysis and Health Monitoring, Ph.D. Dissertation, Pattern Recognition Group, Department of Applied Physics, Delft University of Technology, November 2001, 224pp. (ISBN 90-9015310-1).
13. W.D. Jiao, and S.X. Yang ICA based neural networks for pattern recognition of mechanical faults Computing Technology and Automation 22 2 2003 63 67
14. A.J. Bell, and T.J. Sejnowski Learning higher-order structure of a natural sound Network 7 1996 261 266
15. S. Makeig, A.J. Bell, T.-P. Jung, and T.J. Sejnowski Independent component analysis of electroencephalographic data M. Mozer Advances in Neural Information Processing Systems Vol. 8 1996 MIT press Cambridge, MA 145 151
16. A. Hyvärinen, and P.O. Hoyer Emergence of phase and shift invariant features by decomposition of natural images into independent feature subspaces Neural Computation 12 7 2000 1705 1720
17. J. Karhunen, A. Hyvärinen, R. Vigario, J. Hurri, and E. Oja Applications of neural blind separation to signal and image processing Proceedings of the IEEE International Conference on Acoustics Speech and Signal Processing Munich, Germany 1997 131 134
18. P. Sanna, J. Pedro, H. Heikki, Independent component analysis of vibrations for fault diagnosis of an induction motor, http://www.control.hut.fi/Research/vaivi/ICA_final2.pdf.
19. W.D. Jiao, Research on Methods for Fault Diagnosis of Rotating Machinery Based on Independent Component Analysis, Ph.D. Thesis, Zhejiang University, 2003.
20. A. Ypma, D.M.J. Tax, R.P.W. Duin, Robust machine fault detection with independent component analysis and support vector data description, Proceedings of 1999 IEEE International Workshop on Neural Networks for Signal Processing, Madison, Wisconsin (USA), 23-25 August, 1999, 67-76
21. S. Chitroub, A. Houacine, and B. Sansal Compound PCA-ICA neural network model for enhancement and feature extraction of multi-frequency polarimetric SAR imagery Proceedings of the 2000 International Conference on Image Processing (ICIP 2000), Vancouver, BC, Canada 10-13 September 2000
22. M. Kotani, Y. Shirata, S. Maekawa, S. Ozawa, K. Akazawa, Application of independent component analysis to feature extraction of speech, International Joint Conference on Neural Networks, Vol. 5, 10-16 July 1999, Washington, DC, USA, pp. 2981-2984.
23. J.-H. Lee, H.-Y. Jung, T.-W. Lee, S.-Y. Lee, Speech feature extraction using independent component analysis, Proceedings, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'00), Vol. 3, 5-9 June 2000, Istanbul, Turkey, pp. 1631-1634.
24. A. Hyvärinen, and E. Oja Survey on independent component analysis Neural Computing Surveys 2 1999 94 128
25. R. Moddemeijer On estimation of entropy and mutual information of continuous distributions Signal Processing 16 3 1989 233 246
26. J.F. Cardoso, and A. Souloumiac Blind beamforming for non-Gaussian signals IEE Proceedings-F 140 6 1993 362 370
27. Z. Ghahramani, and M.I. Jordan Factorial hidden Markov models Machine Learning 29 1997 245 273
28. B. Logan, P. Moreno, Factorial HMMS for acoustic modeling, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '98), Vol. 2, WA, USA, 12-15 May 1998, pp. 813-816.
29. M. Brand, Coupled hidden Markov models for modeling interacting processes, Technical Report 405, MIT Media Lab Perceptual Computing/Learning and Common Sense, June 1997.
30. B. Logan, P.J. Moreno, Factorial hidden Markov models for speech recognition: preliminary experiments, Cambridge Research Laboratories Technical Report Series, CRL 97/7, September, 1997.