Classification of gear faults using cumulants and the radial basis function network

Mechanical Systems and Signal Processing

Volumn 18, Issue 2, 2004, Pages 381-389

  Wuxing, Lai ^a   Tse, Peter W ^b   Guicai, Zhang ^a   Tielin, Shi ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Artificial neural networks; Cumulants; Fault diagnosis; High order statistical analysis

Indexed keywords

CONDITION MONITORING; FEATURE EXTRACTION; GEAR TEETH; RADIAL BASIS FUNCTION NETWORKS; SIGNAL TO NOISE RATIO; STATISTICAL METHODS; VIBRATIONS (MECHANICAL);

CUMULANTS; FAULT DIAGNOSIS; GEAR FAULT CLASSIFICATION;

ACOUSTIC SIGNAL PROCESSING;

EID: 0348197187     PISSN: 08883270     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0888-3270(03)00080-3     Document Type: Article

References (16)

1. R. Isermann, Process fault detection based on modeling estimation methods - a survey, Automatica 20 (1984) 387-404.
2. R. Isermann, Supervision fault-detection and fault-diagnosis methods - an introduction, Control Engineering Practice 5 (1997) 637-652.
3. S. Willsky, A survey of design methods for failure detection in dynamic systems, Automatica 12 (1976) 601-611.
4. P.M. Frank, Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy - a survey and some new results, Automatica 26 (1990) 459-474.
5. R.J. Patton, Robust model-based fault diagnosis: the state of the art, Proceedings of the IFAC SAFEPROCESS'94, 1994, pp. 1-24.
6. J.M. Mendel, Tutorial on higher-order statistics (spectra) in signal progressing and system theory - theoretical results and some applications, Proceedings IEEE 79 (3) (1991) 278-305.
7. A.A. Silva, Tese de Doutorado, Detecção e Análise Dinâmica de Falhas em Rolamentos, EESC-USP, 1999.
8. H. Oehlmann, D. Brie V. Begotto, M. Tomczak, Examination of gearbox cracks using time-frequency distributions, International Conference on Acoustics, Speech, and Signal Processing, ICASSP-95, Vol. 2, 1995.
9. B.A. Paya, I.I. Esat, M.N. Badi, Artificial neural network based fault diagnosis of rotating machinery using wavelet transforms as a pre-processor, Mechanical System and Signal Processing 11 (5) (1997) 751-759.
10. W. Staszewski, K. Worden, G.R. Tomlinson, Time-frequency analysis in gearbox fault detection using the Wigner-Ville distribution and pattern recognition, Mechanical Systems and Signal Processing 11 (5) (1997) 673-686.
11. C.M. Bishop, Neural Networks for Pattern Recognition. Clarendon Press, Oxford, 1995, pp. 164-191.
12. Xu Bingzheng, Zhang Beilin, Wei Gang, The Theory and Application of Neural Network, Huanan University of Science and Technology Press, Guangzhou, 1994, pp. 304-322.
13. T. Poggio, F. Girosi, Networks and the best approximation, Biological Cybernetics 63 (3) (1990) 169-176.
14. J. Moody, C. Darken, Fast learning in networks of locally tuned process units, Neural Computation 1 (2) (1989) 281-294.
15. Zhang Xianda, Advanced Signal Processing, Shinghua University Press, Beijing, 1995, pp. 373-380.
16. M.T. Hagan, H.B. Demuth, M.H. Beale, Neural Network Design, PWS Publishing, Boston, MA, 1996, pp. 8-12.