In this paper, reduced order modeling (ROM) based on the proper orthogonal decomposition (POD) are applied to an eddy-current problem with movement. A classical magnetodynamic finite-element formulation based on the magnetic vector potential is used as reference and starting point to build up the reduced models. Two approaches are proposed to construct the ROMs: 1) the so-called classical POD-ROM and 2) the parametric POD-ROM by the matrix interpolation method. The latter is found to be highly computationally efficient (time and memory) when dealing with repetitive computations, such as design, control, and optimization procedures. The Team Workshop Problem 28 is chosen as a test case for validation. The results are compared in terms of acc...
International audienceAs in most of the domains in physics, finite element formulation is a very com...
In this paper reduced order model of a non-linear model is developed by proper ortho- gonal decompos...
In the electrical engineering field, numerical simulation allows to avoid experiments which can be e...
EU In this paper, reduced order modeling (ROM) based on the proper orthogonal decomposition (POD) ar...
In this paper, a proper-orthogonal-decomposition reduced-order model is applied to an eddy-current p...
The accurate and efficient treatment of eddy-current problems with movement is still a challenge. Ve...
This paper deals with the lumped-parameter modelling of magnetically linear eddy-current devices whi...
In order to reduce the computation time and the memory resources required to solve an electromagneti...
© 2016 IEEE. In this paper two reduced order models, the proper orthogonal decomposition and the phy...
Proper Orthogonal Decomposition (POD) has been successfully used to reduce the size of linear Finite...
Proper Orthogonal Decomposition (POD) is an efficient model order reduction technique for linear pro...
In the domain of numerical computation, Model Order Reduction approaches are more and more frequentl...
Among the model order reduction techniques, the Proper Orthogonal Decomposition (POD) has shown its ...
The Proper Orthogonal Decomposition (POD) combined with the (Discrete) Empirical Interpolation Metho...
The Proper Orthogonal Decomposition (POD) combined with the (Discrete) Empirical Interpolation Metho...
International audienceAs in most of the domains in physics, finite element formulation is a very com...
In this paper reduced order model of a non-linear model is developed by proper ortho- gonal decompos...
In the electrical engineering field, numerical simulation allows to avoid experiments which can be e...
EU In this paper, reduced order modeling (ROM) based on the proper orthogonal decomposition (POD) ar...
In this paper, a proper-orthogonal-decomposition reduced-order model is applied to an eddy-current p...
The accurate and efficient treatment of eddy-current problems with movement is still a challenge. Ve...
This paper deals with the lumped-parameter modelling of magnetically linear eddy-current devices whi...
In order to reduce the computation time and the memory resources required to solve an electromagneti...
© 2016 IEEE. In this paper two reduced order models, the proper orthogonal decomposition and the phy...
Proper Orthogonal Decomposition (POD) has been successfully used to reduce the size of linear Finite...
Proper Orthogonal Decomposition (POD) is an efficient model order reduction technique for linear pro...
In the domain of numerical computation, Model Order Reduction approaches are more and more frequentl...
Among the model order reduction techniques, the Proper Orthogonal Decomposition (POD) has shown its ...
The Proper Orthogonal Decomposition (POD) combined with the (Discrete) Empirical Interpolation Metho...
The Proper Orthogonal Decomposition (POD) combined with the (Discrete) Empirical Interpolation Metho...
International audienceAs in most of the domains in physics, finite element formulation is a very com...
In this paper reduced order model of a non-linear model is developed by proper ortho- gonal decompos...
In the electrical engineering field, numerical simulation allows to avoid experiments which can be e...