Using bispectral distribution as a feature for rotating machinery fault diagnosis

Measurement: Journal of the International Measurement Confederation

Volumn 44, Issue 7, 2011, Pages 1284-1292

  Jiang, Lingli ^a   Liu, Yilun ^b   Li, Xuejun ^a   Tang, Siwen ^a  

^a HUNAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b CENTRAL SOUTH UNIVERSITY   (China)

Author keywords

Bispectral distribution; Fault diagnosis; Rotating machinery

Indexed keywords

BISPECTRA; BISPECTRAL DISTRIBUTION; BISPECTRUM; COMPUTING SPEED; FAULT DIAGNOSIS; GEAR FAULT DIAGNOSIS; MACHINERY FAULTS; NON-GAUSSIAN; NON-LINEAR; VIBRATION SIGNAL;

ALGORITHMS; FEATURE EXTRACTION; ROLLER BEARINGS; ROTATION; VIBRATION ANALYSIS;

ROTATING MACHINERY;

EID: 79957827091     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2011.03.024     Document Type: Article

References (21)

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 7 2006 1450 1483
2. R.B. Randall, and J. Antoni Rolling element bearing diagnostics - A tutorial Mechanical Systems and Signal Processing 25 2 2011 485 520
3. N. Tandon, and A. Choudhury A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings Tribology International 32 8 1999 469 480 (Pubitemid 30550533)
4. W.B. Collis, P.R. White, and J.K. Hammond High order spectra: the bispectrum and trispectrum Mechanical Systems and Signal Processing 9 3 1995 267 274
5. M.A.A.S. Choudhury, S.L. Shah, and N.F. Thornhill Diagnosis of poor control-loop performance using higher-order statistics Automatica 40 10 2004 1719 1728
6. D.M. Yang, A.F. Stronach, and P. MacConnell Third-order spectral techniques for diagnosis of motor bearing condition using artificial neural networks Mechanical Systems and Signal Processing 16 2-3 2002 361 411
7. F.E.H. Montero, and O.C. Medina The application of bispectrum on diagnosis of rolling element bearings: a theoretical approach Mechanical Systems and Signal Processing 22 3 2008 588 596
8. I.M. Howard Higher-order spectral techniques for machine vibration condition monitoring Proceedings of the Institution of Mechanical Engineers Part G: Journal of Aerospace Engineering 211 4 1997 211 219
9. J.K. Sinha Higher order spectra for crack and misalignment identification in the shaft of a rotating machine Structural Health Monitoring 6 4 2007 325 334
10. C.C. Wang, and G.P. Jamestoo Rotating machine fault detection based on HOS and artificial neural networks Journal of Intelligent Manufacturing 13 4 2002 283 293
11. T.S. Qiu, and X.X. Zhang Statistical Signal Processing - non-Gaussian Signal Processing and its Application 2004 Publishing Housing of Electronics Industry Beijing
12. C.L. Nikias, and A. Petropulu Higher-order Spectra: A Nonlinear Signal Processing Frame Work 1993 Prentice-Hall Englewood Cliffs, NJ
13. H. Ji, J. Li, W. Xie, Bispectrum based radar target classification, in: Proceedings of ICSP'98, pp. 419-422.
14. P. Stepanic, L.V. Latinovic, and Z. Djurovic A new approach to detection of defects in rolling element bearings based on statistical pattern recognition International Journal of Advance Manufacturing Technology 45 1-2 2009 91 100
15. N. Sawalhi, R.B. Randall, and H. Endo The enhancement of fault detection and diagnosis in rolling element bearings using minimum entropy deconvolution combined with spectral kurtosis Mechanical Systems and Signal Processing 21 6 2007 2616 2633 (Pubitemid 46829751)
16. P.D. McFadden Detection of gear faults by decomposition of matched differences of vibration signals Mechanical Systems and Signal Processing 14 5 2000 805 817
17. W.X. Lai, P.W. Tse, and G.C. Zhang Classification of gear fault using cumulants and the radial basis function network Mechanical Systems and Signal Processing 18 2 2004 381 389
18. L. Zhang, G.L. Xiong, and H.S. Liu Bearing fault diagnosis using multi-scale entropy and adaptive neuro-fuzzy inference Expert Systems with Applications 37 8 2010 6077 6085
19. J. Rafiee, M.A. Rafiee, and P.W. Tse Application of mother wavelet functions for automatic gear and bearing fault diagnosis Expert Systems with Application 37 6 2010 4568 4579
20. Y. Yang, Y.G. He, J.S. Cheng, and D.J. Yu A gear fault diagnosis using Hilbert spectrum based on MODWPT and a comparison with EMD approach Measurement 42 4 2009 542 551
21. L.L. Jiang, Y.L. Liu, and X.J. Li Gear fault diagnosis based on SVM and multi-sensor information fusion Journal of Central South University (Science and Technology) 41 6 2010 2184 2188