Steps towards intelligent core loss modeling

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	2014-03-01T02:49:00Z
dc.date.available	2014-03-01T02:49:00Z
dc.date.issued	2000	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34215
dc.subject	Artificial Neural Network	en
dc.subject	Genetic Algorithm	en
dc.subject	Indexing Terms	en
dc.subject	Iron	en
dc.subject	Prediction Model	en
dc.subject	Neural Network	en
dc.title	Steps towards intelligent core loss modeling	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/MELCON.2000.879705	en
heal.identifier.secondary	http://dx.doi.org/10.1109/MELCON.2000.879705	en
heal.publicationDate	2000	en
heal.abstract	In this paper, an intelligent core loss prediction model is developed and applied during the transformer construction phase. The developed prediction model is based on artificial neural networks. This model is applied on-line to optimally combine the individual wound cores in order to reduce the iron losses of assembled transformers. The perspectives of this work are also presented in this	en
heal.journalName	MELECON - IEEE Mediterranean Electrotechnical Conference	en
dc.identifier.doi	10.1109/MELCON.2000.879705	en