Data-reconstruction-based modeling of SRM with few flux-linkage samples from torque-balanced measurement

Song, Shoujun; Ge, Lefei; Zhang, Man

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.identifier.issn	08858969
dc.identifier.uri	http://hdl.handle.net/123456789/7210
dc.description	p.424 - 435	en_US
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