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Article . 2017
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IEEE Transactions on Magnetics
Article . 2018 . Peer-reviewed
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Proper Generalized Decomposition Applied on a Rotating Electrical Machine

Authors: L. Montier; T. Henneron; S. Clenet; B. Goursaud;

Proper Generalized Decomposition Applied on a Rotating Electrical Machine

Abstract

The proper generalized decomposition (PGD) is a model order reduction method which allows to reduce the computational time of a numerical problem by seeking for a separated representation of the solution. The PGD has been already applied to study an electrical machine but at standstill without accounting the motion of the rotor. In this paper, we propose a method to account for the rotation in the PGD approach in order to build an efficient metamodel of an electrical machine. Then, the machine metamodel will be coupled to its electrical and mechanical environment in order to obtain accurate results with an acceptable computational time on a full simulation.

Country
France
Keywords

[SPI.ELEC] Engineering Sciences [physics]/Electromagnetism, Finite Element Method;Model Order Reduction;Proper Generalized Decomposition;Electrical Machine;Metamodel, [MATH.MATH-NA] Mathematics [math]/Numerical Analysis [math.NA], Proper Generalized Decomposition, Proper Generalized decomposition, Mathématique: Analyse numérique, Sciences de l'ingénieur: Electromagnétisme, model order reduction, Finite Element Method, Metamodel, Model Order Reduction, Sciences de l'ingénieur: Energie électrique, Electrical Machine, [SPI.NRJ] Engineering Sciences [physics]/Electric power

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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