Automatic learning techniques for on-line control and optimization of transformer core manufacturing process

Georgilakis, P; Hatziargyriou, N; Paparigas, D; Bakopoulos, J; Elefsiniotis, S

dc.contributor.author	Georgilakis, P	en
dc.contributor.author	Hatziargyriou, N	en
dc.contributor.author	Paparigas, D	en
dc.contributor.author	Bakopoulos, J	en
dc.contributor.author	Elefsiniotis, S	en
dc.date.accessioned	2014-03-01T01:47:49Z
dc.date.available	2014-03-01T01:47:49Z
dc.date.issued	1999	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/25340
dc.subject	Artificial Neural Network	en
dc.subject	Computer Based Learning	en
dc.subject	Genetic Algorithm	en
dc.subject	Group Process	en
dc.subject	Iron	en
dc.subject	On-line Control	en
dc.subject	Decision Tree	en
dc.title	Automatic learning techniques for on-line control and optimization of transformer core manufacturing process	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/IAS.1999.799973	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IAS.1999.799973	en
heal.publicationDate	1999	en
heal.abstract	In this paper, a novel computer based learning framework that has been developed and applied for the online control and optimization of transformer core manufacturing process is presented. The proposed framework aims at predicting core losses of wound core distribution transformers at the early stages of transformer construction. Moreover, it is used to improve the grouping process of the individual	en
heal.journalName	Legal Medicine	en
dc.identifier.doi	10.1109/IAS.1999.799973	en