Torque based selection of ANN for fault diagnosis of wound rotor asynchronous motor-converter association
| dc.contributor.author | Khodja, Djalal Eddine | |
| dc.contributor.author | Chetate, Boukhmis | |
| dc.date.accessioned | 2015-06-21T13:28:15Z | |
| dc.date.available | 2015-06-21T13:28:15Z | |
| dc.date.issued | 2010 | |
| dc.identifier.issn | 2010376X | |
| dc.identifier.uri | https://dspace.univ-boumerdes.dz123456789/2052 | |
| dc.language.iso | en | en_US |
| dc.relation.ispartofseries | World Academy of Science, Engineering and Technology/ Vol.71 (2010);pp. 231-235 | |
| dc.subject | Artificial neuron networks (ANN) | en_US |
| dc.subject | Effective value (RMS) | en_US |
| dc.subject | Experimental results | en_US |
| dc.subject | Failure detection indicating values | en_US |
| dc.subject | Motor-converter unit | en_US |
| dc.title | Torque based selection of ANN for fault diagnosis of wound rotor asynchronous motor-converter association | en_US |
| dc.type | Article | en_US |
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