A cluster-based wavelet feature extraction method for machine fault diagnosis

Applied Mechanics and Materials

Volumn 10-12, Issue , 2008, Pages 548-552

  Yu, G ^a   Li, C N ^a   Kamarthi, Sagar ^b  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b Northeastern University   (United States)

Author keywords

Cluster based; Fault diagnosis; Feature extraction; Wavelet

Indexed keywords

DISCRETE WAVELET TRANSFORMS; EXTRACTION; FAILURE ANALYSIS; FEATURE EXTRACTION; WAVELET TRANSFORMS;

BEARING FAULT DIAGNOSIS; CLUSTER-BASED; CONVENTIONAL METHODS; INFORMATIVE ATTRIBUTES; MACHINE FAULT DIAGNOSIS; WAVELET; WAVELET COEFFICIENTS; WAVELET FEATURE EXTRACTIONS;

FAULT DETECTION;

EID: 45749128601     PISSN: 16609336     EISSN: 16627482     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMM.10-12.548     Document Type: Conference Paper

References (14)

1. nd edn. John Wiley & Sons, New York, (1986).
2. S. Gu, J. Ni and J. Yuan: Int. J. of Machine Tools & Manufacture, Vol.42 (2002), pp. 41-51.
3. L.R. Padovese: Mechanical Systems and Signal Processing, Vol.18 (2004), pp.1047-1064.
4. I. Daubechies: Ten lectures on Wavelets ( SIAM Press, Philadelphia, PA 1992).
5. S.G. Mallat: IEEE Transactions, Vol.37 (1989), pp. 2091-2110.
6. Z.K. Peng, F.L. Chu: Mechanical Systems and Signal Processing, Vol.18 (2004), pp. 199-221.
7. S. Pittner, S.V. Kamarthi: IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.21 (1999), pp. 83-88.
8. S. Mallat: IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.2 (1989), pp. 674-693.
9. S. Mallat: A Wavelet Tour of Signal Processing (Academic Press, San Diego, CA, 1999).
10. C.E. Shannon, W. Weaver: The Mathematical Theory of Communication (University of Illinois Press, 1963).
11. P.K. Sen, J.M. Singer: Large Sample Methods in Statistics-An Introduction with Applications (Chapman & Hall, New York 1993).
12. CWRU Bearing Test Data Center: http://www.eecs.case.edu/laboratory/ bearing/.
13. A.C. McCormick, A.K. Nandi: IEEE Trans. Neural Networks, Vol.8 (1997), pp. 748-757.
14. D.F. Specht: Neural Networks, Vol.3 (1990), pp. 109-118.