DocumentCode
41677
Title
Model-Order Reduction of Magnetoquasi-Static Problems Based on POD and Arnoldi-Based Krylov Methods
Author
Pierquin, Antoine ; Henneron, Thomas ; Clenet, Stephane ; Brisset, Stephane
Author_Institution
Lab. d´Electrotech. et d´Electron. de Puissance, Ecole Centrale de Lille, Villeneuve d´Ascq, France
Volume
51
Issue
3
fYear
2015
fDate
Mar-15
Firstpage
1
Lastpage
4
Abstract
The proper orthogonal decomposition method and Arnoldi-based Krylov projection method are investigated in order to reduce a finite-element model of a quasi-static problem. Both methods are compared on an academic example in terms of computation time and precision.
Keywords
finite element analysis; magnetostatics; Arnoldi-based Krylov projection method; POD; finite-element model; magnetoquasistatic problem; model-order reduction; proper orthogonal decomposition method; Computational modeling; Eddy currents; Frequency-domain analysis; Magnetic domains; Mathematical model; Matrix decomposition; Time-domain analysis; Krylov subspace; model-order reduction; proper orthogonal decomposition; quasi-static problem;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/TMAG.2014.2358374
Filename
7093536
Link To Document