In order to reduce the computation time and the memory resources required to solve an electromagnetic field problem, Model Order Reduction (MOR) approaches can be applied to reduce the size of the linear equation system obtained after discretisation. In the literature, the Proper Orthogonal Decomposition (POD) is widely used in engineering. In this paper, we propose to apply the POD in the case of a Finite Element problem accounting for the movement. The efficiency of this method is evaluated by considering an electrical motor and by comparing with the full model in terms of computational time and accuracy
Model order reduction approaches aim at reducing the computational complexity of numericalmodels. Th...
This PhD thesis aim at developing original, fast and accurate models well adapted to the growing com...
The proper orthogonal decomposition combined with the discrete empirical interpolation method is inv...
In order to reduce the computation time and the memory resources required to solve an electromagneti...
In the domain of numerical computation, Model Order Reduction approaches are more and more frequentl...
Model Order Reduction (MOR) methods are more and more applied on many di erent elds of physics in o...
Among the model order reduction techniques, the Proper Orthogonal Decomposition (POD) has shown its ...
In this paper, proper orthogonal decomposition method is employed to build a reduced-order model fro...
In this paper, reduced order modeling (ROM) based on the proper orthogonal decomposition (POD) are a...
In this paper, proper orthogonal decomposition (POD) method is employed to build a reduced-order mod...
© 2016 IEEE. In this paper two reduced order models, the proper orthogonal decomposition and the phy...
Model order reduction methods, like the proper orthogonal decomposition (POD), enable to reduce dram...
The Proper Generalized Decomposition (PGD) is a model order reduction method which allows to reduce ...
In this paper, a proper-orthogonal-decomposition reduced-order model is applied to an eddy-current p...
In the electrical engineering field, numerical simulation allows to avoid experiments which can be e...
Model order reduction approaches aim at reducing the computational complexity of numericalmodels. Th...
This PhD thesis aim at developing original, fast and accurate models well adapted to the growing com...
The proper orthogonal decomposition combined with the discrete empirical interpolation method is inv...
In order to reduce the computation time and the memory resources required to solve an electromagneti...
In the domain of numerical computation, Model Order Reduction approaches are more and more frequentl...
Model Order Reduction (MOR) methods are more and more applied on many di erent elds of physics in o...
Among the model order reduction techniques, the Proper Orthogonal Decomposition (POD) has shown its ...
In this paper, proper orthogonal decomposition method is employed to build a reduced-order model fro...
In this paper, reduced order modeling (ROM) based on the proper orthogonal decomposition (POD) are a...
In this paper, proper orthogonal decomposition (POD) method is employed to build a reduced-order mod...
© 2016 IEEE. In this paper two reduced order models, the proper orthogonal decomposition and the phy...
Model order reduction methods, like the proper orthogonal decomposition (POD), enable to reduce dram...
The Proper Generalized Decomposition (PGD) is a model order reduction method which allows to reduce ...
In this paper, a proper-orthogonal-decomposition reduced-order model is applied to an eddy-current p...
In the electrical engineering field, numerical simulation allows to avoid experiments which can be e...
Model order reduction approaches aim at reducing the computational complexity of numericalmodels. Th...
This PhD thesis aim at developing original, fast and accurate models well adapted to the growing com...
The proper orthogonal decomposition combined with the discrete empirical interpolation method is inv...