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Computational Intelligence and Neuroscience
Volume 2012, Article ID 582453, 12 pages
http://dx.doi.org/10.1155/2012/582453
Research Article

Evaluation of Effectiveness of Wavelet Based Denoising Schemes Using ANN and SVM for Bearing Condition Classification

1Department of Mechanical and Manufacturing Engineering, Manipal Institute of Technology, Manipal University, Karnataka, Manipal 576104, India
2Department of Mechanical Engineering, NMAM Institute of Technology, Karnataka, Nitte 574104, India
3Department of Mechanical Engineering, Vidya Vikas Institute of Engineering and Technology, Karnataka, Mysore 570028, India
4COMADEM International, Birmingham B29 6DA, UK

Received 31 March 2012; Revised 27 September 2012; Accepted 11 October 2012

Academic Editor: Karim Oweiss

Copyright © 2012 Vijay G. S. et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Vijay G. S., Kumar H. S., Srinivasa Pai P., Sriram N. S., and Raj B. K. N. Rao, “Evaluation of Effectiveness of Wavelet Based Denoising Schemes Using ANN and SVM for Bearing Condition Classification,” Computational Intelligence and Neuroscience, vol. 2012, Article ID 582453, 12 pages, 2012. https://doi.org/10.1155/2012/582453.