Fault feature extracting for rotating machinery vibration based on blind deconvolution and spectral kurtosis

Journal of Theoretical and Applied Information Technology

Volumn 43, Issue 2, 2012, Pages 261-266

  Huang, Weiguo ^a   Liu, Haiyang ^a   Zhu, Zhongkui ^a   He, Zhiyong ^a  

^a SOOCHOW UNIVERSITY   (China)

Author keywords

Blind deconvolution; Rotating machinery vibration; Spectral kurtosis

Indexed keywords

HIGHER ORDER STATISTICS; INDUSTRIAL APPLICATIONS; ROTATING MACHINERY; SIGNAL PROCESSING; STATISTICAL MECHANICS; VIBRATION ANALYSIS;

BEARING FAILURES; BLIND DECONVOLUTION; COMBINATION METHOD; FAULT FEATURE; FREQUENCY DOMAINS; SPECTRAL KURTOSIS; STATISTICAL TOOLS; VIBRATION SOURCES;

CONVOLUTION;

EID: 84867155883     PISSN: 19928645     EISSN: 18173195     Source Type: Journal    
DOI: None     Document Type: Article

References (19)

1. M. Portnoff, "Time-frequency representation of digital signals and systems based on shorttime Fourier analysis", IEEE Transactions on Acoustics, Speech and Signal Proceeding, Vol. 28, No. 1, 1980, pp. 55-69.
2. X. S. Lou, "Bearing fault diagnosis based on wavelet transform and fuzzy inference", Mechanical Systems and Signal Processing, Vol. 18, No. 5, 2004, pp. 1077-1095.
3. H. C. Choe, C. E. Poole, A. M. Yu, "Novel identification of intercepted signals from unknown radio transmitters", Proceedings of the SPIE Wavelet Applications, Vol. 1, 1995, pp. 504-517.
4. T. B. Brotherton, T. Pollard, "Applications of time-frequency and time-scale representations to fault detection and classification", Proceedings of the IEEE Signal Processing international Symposium on Time-Frequency and Time-Scale Analysis, Orlando FL, 1992, pp. 95-98.
5. Huang, NE, Shen, Z, Long, SR, "The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis", Proceedings of the Royal Society of London Series A-Mathematical Physical and Engineering Sciences, Vol. 454, No. 1971, 1998, pp. 903-995.
6. Smith, JS, "The local mean decomposition and its application to EEG perception data", Journal of the Royal Interface, Vol. 2, No. 5, 2005, pp. 443-454.
7. G. Gelle, M. Colas, and G. Delaunay, "Blind sources separation applied to rotating machines monitoring by acoustical and vibrations analysis," Mechanical Systems and Signal Processing, Vol. 14, No. 3, 2000, pp. 427-442.
8. J. Antoni, "Blind separation of vibration components: Principles and demonstrations," Mechanical Systems and Signal Processing, Vol. 19, No. 6, 2005, pp. 1166-1180.
9. Weiguo Huang, Shuyou Wu, Fanrang Kong, et al. "Research on Blind Source Separation for Machine Vibrations", Wireless Sensor Network, Vol. 1, No. 5, 2009, pp. 453-457.
10. W. Wang, "Early detection of gear tooth cracking using the resonance demodulation technique", Mechanical System and Signal Processing, Vol. 15, No. 5, 2001, pp. 887-903.
11. Antoni J, Randall R B. "The spectral kurtosis: a useful tool for characterising non-stationary signals". Mechanical Systems and Signal Processing, Vol. 20, No. 2, 2006, pp. 282-307.
12. Antoni J, Randall R B. "The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines". Mechanical Systems and Signal Processing, Vol. 20, No. 2, 2006, pp. 308-331.
13. Platt, C, Faggin, F, "Networks for the separation of sources that are superimposed and delayed", Advances In Neural Information Processing System, 1991, Vol. 4, No. 1, pp. 730-737.
14. Yellin, D, Wensten, E, "Criteria for multichannel signal separation", IEEE Transactions on Signal Processing, Vol. 42, No. 8, 1994, pp. 2158-2168.
15. Thi, H. N, Jutten, C, "Blind source separation foe convolutive mixtures", Signal Processing, Vol. 45, No. 2, 1995, pp. 209-229.
16. Yu Hen Hu, Jenq-Neng Hwang, "Handbook of neural network signal processing", Florida, CRC Press, 2002.
17. Hyvaerinen, A, Oja, E, "Fast Fixed-Point Algorithm for Independent Component Analysis", Neural Computation, Vol. 7, No. 9, 1997. pp. 1483-1492.
18. R. F. Dwyer, "Detection of non-Gaussian signals by frequency domain kurtosis estimation", International Conference on Acoustic, Speech, and Signal Processing, Boston, 1983, pp. 607-610.
19. Antoni J, "Fast computation of the kurtogram for the detection of transient faults", Mechanical System and Signal Processing, Vol. 21, No. 1, 2007, pp. 108-124.