Proper orthogonal decomposition-based model reduction of a synchronous machine

Mehrnaz Farzam Far, Floran Martin, Anouar Belahcen

Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsScientific

Abstract

The aim of this paper is to investigate on various methods of reducing the computational complexity, cost, and time for a nite element model of an electrical machine with a nonlinear magnetostatic eld. A novel method is introduced in order to facilitate the evaluation of the nonlinear problem.
Original languageEnglish
Title of host publicationBook of abstracts of the 7th International Conference on Advanced Computational Methods in Engineering, ACOMEN 2017
PublisherGhent University
Pages85-86
Publication statusPublished - 2017
MoE publication typeNot Eligible
Event7th nternational Conference on Advanced Computational Methods in Engineering, ACOMEN 2017 - Ghent, United Kingdom
Duration: 18 Sep 201722 Sep 2017

Conference

Conference7th nternational Conference on Advanced Computational Methods in Engineering, ACOMEN 2017
CountryUnited Kingdom
CityGhent
Period18/09/1722/09/17

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Farzam Far, M., Martin, F., & Belahcen, A. (2017). Proper orthogonal decomposition-based model reduction of a synchronous machine. In Book of abstracts of the 7th International Conference on Advanced Computational Methods in Engineering, ACOMEN 2017 (pp. 85-86). Ghent University.