Al helps reduce transformer iron losses

Georgilakis, P; Hatziargyriou, N; Paparigas, D

dc.contributor.author	Georgilakis, P	en
dc.contributor.author	Hatziargyriou, N	en
dc.contributor.author	Paparigas, D	en
dc.date.accessioned	2014-03-01T01:14:22Z
dc.date.available	2014-03-01T01:14:22Z
dc.date.issued	1999	en
dc.identifier.issn	0895-0156	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13029
dc.subject	Artificial Intelligence Method	en
dc.subject	Intelligent System	en
dc.subject	Iron	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.title	Al helps reduce transformer iron losses	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/67.795137	en
heal.identifier.secondary	http://dx.doi.org/10.1109/67.795137	en
heal.language	English	en
heal.publicationDate	1999	en
heal.abstract	Methods for iron loss reduction during manufacturing of wound-core distribution transformers are presented. More specifically, measurements taken at the first stages of core construction are effectively used, in order to minimize iron losses of transformer (final product). To optimally exploit the measurements (feedback), artificial intelligence methods are applied. It is shown that intelligent systems are able to learn and interpret	en
heal.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC	en
heal.journalName	IEEE COMPUTER APPLICATIONS IN POWER	en
dc.identifier.doi	10.1109/67.795137	en
dc.identifier.isi	ISI:000082876700011	en
dc.identifier.volume	12	en
dc.identifier.issue	4	en
dc.identifier.spage	41	en
dc.identifier.epage	46	en