|
Depot Institutionnel de l'UMBB >
Publications Scientifiques >
Communications Internationales >
Veuillez utiliser cette adresse pour citer ce document :
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/2128
|
| Titre: | ANN based double stator asynchronous machine diagnosis taking torque change into account |
| Auteur(s): | Khodja, Djalal Eddine
Chetate, Boukhmis |
| Mots-clés: | Artificial Neuron Networks (ANN)
Detection
Double stator asynchronous machine
Failure
Root Mean Square (RMS)
Artificial intelligence
Backpropagation
Electric fault currents
Industrial engineering
Power converters
Power electronics
Stators
Artificial neural networks
Automatic fault diagnosis;
Electrical drives
International symposium
Simulation results
Neural networks |
| Date de publication: | 2008 |
| Editeur: | IEEE |
| Référence bibliographique: | SPEEDAM 2008 - International Symposium on Power Electronics, Electrical Drives, Automation and Motion; Ischia; Italy; 11 June 2008 through 13 June 2008; Category number08EX2053; Code 73530 |
| Collection/Numéro: | SPEEDAM 2008 - International Symposium on Power Electronics, Electrical Drives, Automation and Motion 2008, Article number 4581174,;pp. 1125-1129 |
| Résumé: | In this work the strategy of the artificial intelligence (neural networks) is used to detect and localize the defects of the double stator asynchronous machine. In fact, several neural networks have been applied to the detection of defects. Then, we used a selector which allows activating only one network at a time. In this case, the selected network detects only defects corresponding to the torque developed by asynchronous machine. Finally, the simulation results were presented to show the effectiveness of artificial neural networks for automatic fault diagnosis |
| URI/URL: | http://dlibrary.univ-boumerdes.dz:8080123456789/2128 |
| ISBN: | 978-142441664-6 |
| Collection(s) : | Communications Internationales
|
Fichier(s) constituant ce document :
|
Tous les documents dans DSpace sont protégés par copyright, avec tous droits réservés.
|
