Incipient gear box fault diagnosis using discrete wavelet transform (DWT) for feature extraction and classification using artificial neural network (ANN)

Expert Systems with Applications

Volumn 37, Issue 6, 2010, Pages 4168-4181

  Saravanan, N ^a   Ramachandran, K I ^a  

^a SOHAR UNIVERSITY   (Oman)

Author keywords

Artificial neural network; Discrete wavelet transform; Fault diagnosis; Signal processing; Wavelet features

Indexed keywords

ARTIFICIAL NEURAL NETWORK; DISCRETE WAVELETS; FAULT DIAGNOSIS; FAULT DIAGNOSTICS; FEATURE EXTRACTION AND CLASSIFICATION; GEAR-BOXES; LEVEL OF SAFETIES; PATTERN CLASSIFICATION; PATTERN CLASSIFICATION PROBLEMS; PRODUCTIVE PROCESS; RESOURCES MANAGEMENT; VIBRATION SIGNAL; WAVELET FEATURES;

BEVEL GEARS; CONDITION MONITORING; COST REDUCTION; DISCRETE WAVELET TRANSFORMS; FAILURE ANALYSIS; NEURAL NETWORKS; SIGNAL PROCESSING;

FEATURE EXTRACTION;

EID: 77349127319     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.11.006     Document Type: Article

References (21)

1. Combes, J. M., Grossmann, A., & Tchamitchian, P. (Eds.) (1989), Wavelets, time-frequency methods and phase space, proceedings of international conference, Marsellie, France, December 1987. Berlin: Springer-Verlag.
2. Daubechies I. Communication on Pure and Applied Mathematics XLI (1988) 909-996
3. Daubechies, I. (1988). Ortho-normal bases of compactly supported wavelets. Communications on Pure and Applied Mathematics, 41(November) 909-996.
4. Fernández Salido J.M., and Murakami S. A comparison of two learning mechanisms for the automatic design of fuzzy diagnosis systems for rotating machinery. Applied Soft Computing 4 (2004) 413-422
5. Gunn, S. R. (1998). Support vector machines for classification and regression. Technical report, University of South Hampton.
6. Liu B., and Ling S.F. Machinery diagnostic based on Wavelet packets. Journal of Vibration and Control 3 (1997) 5-17
7. Loparo K. Bearing fault diagnosis based on wavelet transform and fuzzy inference. Mechanical Systems and Signal Processing 18 (2004) 1077-1095
8. Mallat S.G. IEEE Transactions on Pattern Analysis on Machine Intelligent 11-17 (1989) 674-693
9. Mallat S. A wavelet tour of signal processing (1998), Academic Press
10. Meyer, Y., (Ed.) (1992), Wavelets and applications, proceedings of the Marsellie workshop on wavelets, research notes in applied mechanics, France, May 1989, RMA-20. Berlin: Springer-Verlag.
11. Mori K., Kasashima N., Yoshioka T., and Ueno Y. Prediction of spalling on ball bearing by applying the discrete wavelet transform to vibration signals. Wear 195 (1996) 162-168
12. Newland D.E. Ridge and phase identification in the frequency analysis of transient signals by harmonic Wavelets. Journal of Vibration and Acoustic Transactions of the ASME (1999) 149-155
13. Peng Z.K. Application of the Wavelet transform in machine condition monitoring and fault diagnostics. Mechanical Systems and Signal Processing 18 (2004) 199-221
14. Peng Z.K., and Chu F.L. Application of the Wavelet transform in machine condition monitoring and fault diagnostics: A review with bibliography. Mechanical Systems and Signal Processing 18 (2004) 199-221
15. Peng, Y. H., Flach, P. A., Brazdil, P., Soares, C. (2002). Decision tree-based data characterization for meta-learning. In ECML/PKDD-2002 workshop IDDM-2002, Helsinki, Finland.
16. Polikar, R. (1999). The wavelet tutorial. Rowan University, College of Engineering. .
17. Quinlan J.R. Improved use of continuous attributes in C4.5. Journal of Artificial Research 4 (1996) 77-90
18. Samanta B., and Al-Baulshi K.R. Artificial neural network based fault diagnostics of rolling element bearings using time domain features. Mechanical Systems and Signal Processing 17 2 (2003) 317-328
19. Sugumaran, V., Sabareesh, G. R., Ramachandran, K. I. (2006). Fault diagnosis of a taper roller bearing through histogram features and proximal support vector machines. In International conference on signal and image processing, December 2006.
20. Wang W.J. Applications of wavelets to gearbox vibration signals for fault detection. Journal of Sound and Vibration 192 5 (1996) 927-939
21. Wang W.J., and McFadden P.D. Application of the Wavelet transform to gearbox vibration analysis. American Society of Mechanical Engineers Petroleum Division (1993) 13-20