Comparison of the identification methods of Preisach model for a grain-oriented electrical steel sheet
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Koh, C.S. | - |
dc.contributor.author | Eum, Y.H. | - |
dc.contributor.author | Hong, S.-K. | - |
dc.contributor.author | Shin, P.-S. | - |
dc.date.accessioned | 2022-02-07T07:42:28Z | - |
dc.date.available | 2022-02-07T07:42:28Z | - |
dc.date.created | 2022-02-07 | - |
dc.date.issued | 2006 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/25041 | - |
dc.description.abstract | The Preisach distribution function is determined for a grain-oriented electrical steel sheet using two methods: using hysteresis curves, and inverse algorithm method. The methods are combined with finite element method, and the convergence characteristics are compared. © 2006 IEEE. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE Computer Society | - |
dc.title | Comparison of the identification methods of Preisach model for a grain-oriented electrical steel sheet | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Shin, P.-S. | - |
dc.identifier.doi | 10.1109/CEFC-06.2006.1632891 | - |
dc.identifier.scopusid | 2-s2.0-42749106773 | - |
dc.identifier.bibliographicCitation | 12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006, pp.99 | - |
dc.relation.isPartOf | 12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006 | - |
dc.citation.title | 12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006 | - |
dc.citation.startPage | 99 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
94, Wausan-ro, Mapo-gu, Seoul, 04066, Korea02-320-1314
COPYRIGHT 2020 HONGIK UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.