An Artificial Neural Network for the Selection of Winding Material in Power Transformers

Amoiralis, E; Georgilakis, P; Gioulekas, A

dc.contributor.author	Amoiralis, E	en
dc.contributor.author	Georgilakis, P	en
dc.contributor.author	Gioulekas, A	en
dc.date.accessioned	2014-03-01T02:50:14Z
dc.date.available	2014-03-01T02:50:14Z
dc.date.issued	2006	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34981
dc.subject	Artificial Neural Network	en
dc.subject	Power Transformer	en
dc.subject	Success Rate	en
dc.title	An Artificial Neural Network for the Selection of Winding Material in Power Transformers	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/11752912_46	en
heal.identifier.secondary	http://dx.doi.org/10.1007/11752912_46	en
heal.publicationDate	2006	en
heal.abstract	The selection of the winding material in power transformers is an important task, since it has significant impact on the transformer manufacturing cost. This winding material selection has to be checked in every transformer design, which means that for each design, there is a need to optimize the transformer twice and afterwards to select the most economical design. In this	en
heal.journalName	Hellenic Conference on Artificial Intelligence	en
dc.identifier.doi	10.1007/11752912_46	en