The use of root mean square values (RMS) for the shortcoming diagnostic of permanent magnet synchronous machine using artificial neurone network module
| dc.contributor.author | Khodja, Djalal Eddine | |
| dc.contributor.author | Chetate, Boukhmis | |
| dc.date.accessioned | 2015-07-06T10:03:04Z | |
| dc.date.available | 2015-07-06T10:03:04Z | |
| dc.date.issued | 2008 | |
| dc.identifier.issn | 12595985 | |
| dc.identifier.uri | https://dspace.univ-boumerdes.dz/handle/123456789/2156 | |
| dc.language.iso | en | en_US |
| dc.relation.ispartofseries | Modelling, Measurement and Control A/ Vol.81, N°1-2 (2008);pp. 30-43 | |
| dc.subject | ANN | en_US |
| dc.subject | Defect | en_US |
| dc.subject | Diagnostic | en_US |
| dc.subject | Indicatory values | en_US |
| dc.subject | Performance | en_US |
| dc.subject | PMSM | en_US |
| dc.subject | RMS | en_US |
| dc.title | The use of root mean square values (RMS) for the shortcoming diagnostic of permanent magnet synchronous machine using artificial neurone network module | en_US |
| dc.type | Article | en_US |
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