| Título |
Rotor unbalance detection in electrical induction motors using orbital analysis |
| Tipo |
Congreso |
| Sub-tipo |
SCOPUS |
| Descripción |
Lecture Notes in Computer Science; 6th Mexican Conference on Pattern Recognition |
| 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 |
MCPR 2014; (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Code 106561 |
| Lugar |
Cancún |
| País |
Mexico |
| No. de páginas |
371-380 |
| Vol. / Cap. |
8495 |
| Inicio |
2014-06-25 |
| Fin |
2014-06-28 |
| ISBN/ISSN |
978-331907490-0 |
