| Título |
Rotor Unbalance Detection in Electrical Induction Motors Using Orbital Analysis |
| Tipo |
Revista |
| Sub-tipo |
ISI |
| Descripción |
Lecture Notes in Computer Science LNCS 8495. Pattern Recognition, Springer |
| Resumen |
Deterioration in mechanical parts of a motor causes faults that
generate vibrations. Those vibrations can be related with a different type of motor fault. In this work, we propose a new computational model for identifying rotor unbalance problems in electrical induction motors. Measured vibrations are preprocessed in order to create orbits which represent characteristic patterns. Those patterns are used in a recognition process using an artificial neural network. Experimental results using vibration signals extracted from real situations show a good performance and effectiveness of the proposed model, providing a new way for recognizing unbalance problems in induction motors. |
| Observaciones |
DOI 10.1007/978-3-319-07491-7 |
| Lugar |
Cancún |
| País |
Mexico |
| No. de páginas |
371–379 |
| Vol. / Cap. |
LNCS 8495 |
| Inicio |
2014-06-28 |
| Fin |
|
| ISBN/ISSN |
978-3-319-07490-0 |
