Evaluation of Effectiveness of Wavelet Based Denoising Schemes Using ANN and SVM for Bearing Condition Classification
Joint Authors
Rao, Raj B. K. N.
H. S., Kumar
Srinivasa Pai, P.
G. S., Vijay
N. S., Sriram
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-11-14
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The wavelet based denoising has proven its ability to denoise the bearing vibration signals by improving the signal-to-noise ratio (SNR) and reducing the root-mean-square error (RMSE).
In this paper seven wavelet based denoising schemes have been evaluated based on the performance of the Artificial Neural Network (ANN) and the Support Vector Machine (SVM), for the bearing condition classification.
The work consists of two parts, the first part in which a synthetic signal simulating the defective bearing vibration signal with Gaussian noise was subjected to these denoising schemes.
The best scheme based on the SNR and the RMSE was identified.
In the second part, the vibration signals collected from a customized Rolling Element Bearing (REB) test rig for four bearing conditions were subjected to these denoising schemes.
Several time and frequency domain features were extracted from the denoised signals, out of which a few sensitive features were selected using the Fisher’s Criterion (FC).
Extracted features were used to train and test the ANN and the SVM.
The best denoising scheme identified, based on the classification performances of the ANN and the SVM, was found to be the same as the one obtained using the synthetic signal.
American Psychological Association (APA)
G. S., Vijay& H. S., Kumar& Srinivasa Pai, P.& N. S., Sriram& Rao, Raj B. K. N.. 2012. Evaluation of Effectiveness of Wavelet Based Denoising Schemes Using ANN and SVM for Bearing Condition Classification. Computational Intelligence and Neuroscience،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-482588
Modern Language Association (MLA)
G. S., Vijay…[et al.]. Evaluation of Effectiveness of Wavelet Based Denoising Schemes Using ANN and SVM for Bearing Condition Classification. Computational Intelligence and Neuroscience No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-482588
American Medical Association (AMA)
G. S., Vijay& H. S., Kumar& Srinivasa Pai, P.& N. S., Sriram& Rao, Raj B. K. N.. Evaluation of Effectiveness of Wavelet Based Denoising Schemes Using ANN and SVM for Bearing Condition Classification. Computational Intelligence and Neuroscience. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-482588
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-482588