Enhancing the reliability of self-excited induction generators used in wind energy microgrids through a hybrid FEM–CNN-based fault diagnosis framework

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Élément Dublin Core	Valeur	Langue
dc.contributor.author	dilmi, ali	-
dc.date.accessioned	2026-06-30T14:27:28Z	-
dc.date.available	2026-06-30T14:27:28Z	-
dc.date.issued	2026-01-09	-
dc.identifier.citation	Journal of Renewable and Sustainable Energy	en_US
dc.identifier.uri	http://dspace.univ-bouira.dz:8080/jspui/handle/123456789/20092	-
dc.language.iso	en	en_US
dc.publisher	Université de BOUIRA جامعة البويرة	en_US
dc.title	Enhancing the reliability of self-excited induction generators used in wind energy microgrids through a hybrid FEM–CNN-based fault diagnosis framework	en_US
dc.type	Article	en_US
Collection(s) :	Articles

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