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 hal.structure.identifier
FRATILA, Mircea
13338 Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
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 hal.structure.identifier
RAMAROTAFIKA, Rindra
13338 Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
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 hal.structure.identifier
BENABOU, Abdelkader
13338 Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
dc.contributor.author
 hal.structure.identifier
CLENET, Stéphane
13338 Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
dc.contributor.author
 hal.structure.identifier
TOUNZI, Abdelmounaïm
13338 Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
dc.date.accessioned2013
dc.date.available2013
dc.date.issued2013
dc.date.submitted2013
dc.identifier.issn0332-1649
dc.identifier.urihttp://hdl.handle.net/10985/7255
dc.description.abstractTo take account of the uncertainties introduced on the magnetic properties during the manufacturing process, the present work aims to focus on the stochastic modelling of iron losses in electrical machine stators. The investigated samples are composed of 28 slinky stators, coming from the same production chain. The stochastic modelling approach is first described. Thereafter, the Monte-Carlo sampling method is used to calculate, in post-processing, the iron loss density in a PMSM that is modelled by the finite element method. The interest of such an approach is emphasized by calculating the main statistical characteristics associated to the losses variability, which are Gaussian distributed for A and O formulations. The originality of the approach is due to the fact that the global influence of the manufacturing process (cutting, assembly, …) on magnetic properties of the considered samples is taken into account in the way of computing the iron losses.
dc.description.sponsorshipThis work is supported by the program MEDEE (Nord Pas-de-Calais Region, France)
dc.language.isoen
dc.publisherEmerald
dc.rightsPost-print
dc.subjectUncertainty quantification
dc.subjectPermanent magnet synchronous machine
dc.subjectIron losses
dc.subjectFinite Element Method
dc.subjectPost processing
dc.subjectSlinky stator
dc.subjectStochastic model
dc.subjectStochastic modelling
dc.subjectvariability
dc.titleStochastic post-processing calculation of iron losses – application to a PMSM
dc.identifier.doi10.1108/03321641311317185
dc.typdocArticle dans une revue avec comité de lecture
dc.localisationCentre de Lille
dc.subject.halSciences de l'ingénieur: Energie électrique
ensam.audienceNon spécifiée
ensam.page1383-1392
ensam.journalCOMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering
ensam.volume32
ensam.issue4
hal.identifierhal-00854652
hal.version1
hal.statusaccept


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