Comparison between Artificial Neural Network and Support Vector Method for a Fault Diagnostics in Rolling Element Bearings
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics
Reference21 articles.
1. Monitoring and Diagnosis of Rolling Element Bearings Using Artificial Neural Networks;Alguindigue;IEEE Transaction on Industrial Electronics,1992
2. Using neural networks for the diagnosis of localized defects in ball bearings;Subrahmanyam;Journal of Tribology International,1997
3. Artificial neural network design for fault identification in a rotor-bearing system;Vyas;Journal of Mechanism and Machine Theory,2001
4. Wavelet Analysis and Envelope Detection For Rolling Element Bearing Fault Diagnosis- Their Effectiveness and Flexibilities;Tse;ASME Journal of Vibration and Acoustics,2001
5. Artificial Neural Network based faultDiagnostics of Rolling element bearings Usingtime-domain features;Samanta;Journal of Mechanical Systems and Signal Processing,2003
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