Neural bearing faults classifier using inputs based on Fourier and wavelet packet transforms
In this paper one method for bearings diagnosis is proposed and evaluated. This method use signal pattern recognition from mechanical vibrations. Wavelet and Fourier transforms are used for pre-processing the signal and an Artificial Neural Network (ANN) is used as a classifier. Analysis of varianc...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad de Antioquia
2013-08-01
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| Series: | Revista Facultad de Ingeniería Universidad de Antioquia |
| Subjects: | |
| Online Access: | https://revistas.udea.edu.co/index.php/ingenieria/article/view/16316 |