Spotlight on transformer design

Georgilakis, P; Amoiralis, E

dc.contributor.author	Georgilakis, P	en
dc.contributor.author	Amoiralis, E	en
dc.date.accessioned	2014-03-01T01:56:10Z
dc.date.available	2014-03-01T01:56:10Z
dc.date.issued	2007	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/27987
dc.subject	Artificial Intelligent	en
dc.subject	Optimum Design	en
dc.subject	Decision Tree	en
dc.subject	Neural Network	en
dc.title	Spotlight on transformer design	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/MPAE.2007.264851	en
heal.identifier.secondary	http://dx.doi.org/10.1109/MPAE.2007.264851	en
heal.publicationDate	2007	en
heal.abstract	This paper presents an integrated artificial intelligence technique to achieve an optimum design of a transformer. AI is used to reach an optimum transformer design solution for the winding material selection problem. To be more precise, decision trees (DTs) and adaptive trained neural networks (ATNNs) are combined with the aim of selecting the appropriate winding material (Cu or Al) to	en
heal.journalName	IEEE Power & Energy Magazine	en
dc.identifier.doi	10.1109/MPAE.2007.264851	en