Data-reconstruction-based modeling of SRM with few flux-linkage samples from torque-balanced measurement
dc.contributor.author | Song, Shoujun | |
dc.contributor.author | Ge, Lefei | |
dc.contributor.author | Zhang, Man | |
dc.date.accessioned | 2019-02-07T09:08:42Z | |
dc.date.available | 2019-02-07T09:08:42Z | |
dc.date.issued | 2016-06 | |
dc.description | p.424 - 435 | en_US |
dc.identifier.issn | 08858969 | |
dc.identifier.uri | http://hdl.handle.net/123456789/7210 | |
dc.language.iso | en | en_US |
dc.relation.ispartofseries | In: IEEE transactions on Energy Conversion, Vol.31, n°2 (Juin 2016); | |
dc.subject | Machines électriques | en_US |
dc.subject | Machines à réluctance | en_US |
dc.subject | Flux magnétique | en_US |
dc.subject | Rotors | en_US |
dc.subject | Réseau de neurones | en_US |
dc.title | Data-reconstruction-based modeling of SRM with few flux-linkage samples from torque-balanced measurement | en_US |
dc.type | Article | en_US |