A novel fault diagnosis method of bearing based on improved fuzzy ARTMAP and modified distance discriminant technique

Expert Systems with Applications

Volumn 36, Issue 9, 2009, Pages 11801-11807

  Xu, Zengbing ^a   Xuan, Jianping ^a   Shi, Tielin ^a   Wu, Bo ^a   Hu, Youmin ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Bootstrap method; Fault diagnosis; Feature selection; Improved fuzzy ARTMAP; Modified distance discriminant technique; Yu's norm

Indexed keywords

BOOTSTRAP METHOD; FAULT DIAGNOSIS; FEATURE SELECTION; IMPROVED FUZZY ARTMAP; MODIFIED DISTANCE DISCRIMINANT TECHNIQUE; YU'S NORM;

BEARINGS (STRUCTURAL);

ROLLING;

EID: 67349287589     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.04.021     Document Type: Article

References (18)

1. Efron B. Bootstrap methods. Another look at the jackknife. The Annals of Statistics 7 (1979) 1-26
2. Efron B., and Tibshirani R.J. An introduction to the bootstrap (1993), Chapman & Hall
3. Garperter G.A., Grossberg S., Markuzon N., et al. Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps. IEEE Transactions on Neural Networks 3 (1992) 698-712
4. Javadpour R., and Knapp G.M. A fuzzy neural network approach to machine condition monitoring. Computers and Industrial Engineering 45 (2003) 323-330
5. Lehrman M., Rechester A.B., and White R.B. Symbolic analysis of chaotic signals and turbulent fluctuation. Physical Review Letters 78 (1997) 54-57
6. Lei Y.G., He Z.J., and Zi Y.Y. A new approach to intelligent fault diagnosis of rotaing machinery. Expert Systems with Applications 35 4 (2008) 1593-1600
7. Leonhardt S., and Ayoubi M. Methods of fault diagnosis. Control Engineering Practice 5 5 (1997) 683-692
8. Liang, J. N., Yang, S., & Adam, W. (2007). Invariant optimal feature selection: A distance discriminant and feature ranking based solution. Pattern Recognition. doi:10.1016/j.patcog.2007.10.018.
9. Loparo, K. A. (2003). Bearings vibration data set. Case Western Reserve University. .
10. Luukka P. Similarity classifier using similarity measure derived from Yu's norms in classification of medical data sets. Computers in Biology and Medicine 37 (2007) 1133-1140
11. Luukka P., and Leppälampi T. Similarity classifier with generalized mean applied to medical data. Computers in Biology and Medicine 36 (2006) 1024-1040
12. Samanta B. Articial neural networks and genetical gorithms for gear fault detection. Mechanical Systems and Signal Processing 18 (2004) 1273-1282
13. Samanta B., Al-Balushi K.R., and Al-Araimi S.A. Artificial neural networks and support vector machines with genetic algorithm for bearing fault detection. Engineering Applications of Artificial Intelligence 16 (2003) 657-665
14. Sun, F., & Wei, Z. J. (2007). Rolling bearing fault diagnosis based on wavelet packet and RBF neural network. In Proceeding of the 26th Chinese control conference (pp. 451-455).
15. Tan S.C., and Lim C.P. Application of an adaptive neural network with symbolic rule extraction to fault detection and diagnosis in a power generation plant. IEEE Transaction on Energy Conversion 19 (2004) 369-377
16. Yang B.S., and Kim K.J. Application of Dempster-Shafer theory in fault diagnosis of induction motors using vibration and current signals. Mechanical Systems and Signal Processing 20 (2006) 403-420
17. Yang Y., Yu D.J., and Cheng J.S. A roller bearing fault diagnosis method based on EMD energy entropy and ANN. Journal of Sound and Vibration 294 (2006) 269-277
18. Zhang Y.P., Huang S.H., et al. Continuous wavelet grey moment approach for vibration analysis of rotating machinery. Mechanical Systems and Signal Processing 20 5 (2006) 1202-1220