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DC poleHodnotaJazyk
dc.contributor.authorOrosz, Tamás
dc.contributor.authorRassolkin, Anton
dc.contributor.authorKallaste, Ants
dc.contributor.authorArsenio, Pedro
dc.contributor.authorPánek, David
dc.contributor.authorKaska, Jan
dc.contributor.authorKarban, Pavel
dc.date.accessioned2021-01-25T11:00:29Z-
dc.date.available2021-01-25T11:00:29Z-
dc.date.issued2020
dc.identifier.citationOROSZ, T., RASSOLKIN, A., KALLASTE, A., ARSENIO, P., PÁNEK, D., KASKA, J., KARBAN, P. Robust design optimization and emerging technologies for electrical machines: challenges and open problems. Applied Sciences, 2020, roč. 10, č. 19, s. 1-33. ISSN 2076-3417.cs
dc.identifier.issn2076-3417
dc.identifier.uri2-s2.0-85092471132
dc.identifier.urihttp://hdl.handle.net/11025/42575
dc.format33 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherMDPIen
dc.relation.ispartofseriesApplied Sciencesen
dc.rights© MDPIen
dc.titleRobust design optimization and emerging technologies for electrical machines: challenges and open problemsen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe bio-inspired algorithms are novel, modern, and efficient tools for the design of electrical machines. However, from the mathematical point of view, these problems belong to the most general branch of non-linear optimization problems, where these tools cannot guarantee that a global minimum is found. The numerical cost and the accuracy of these algorithms depend on the initialization of their internal parameters, which may themselves be the subject of parameter tuning according to the application. In practice, these optimization problems are even more challenging, because engineers are looking for robust designs, which are not sensitive to the tolerances and the manufacturing uncertainties. These criteria further increase these computationally expensive problems due to the additional evaluations of the goal function. The goal of this paper is to give an overview of the widely used optimization techniques in electrical machinery and to summarize the challenges and open problems in the applications of the robust design optimization and the prospects in the case of the newly emerging technologies.en
dc.subject.translatedelectrical machinesen
dc.subject.translatedrobust design optimizationen
dc.subject.translateddigital twinsen
dc.subject.translated3D printingen
dc.subject.translatedtransformersen
dc.identifier.doi10.3390/APP10196653
dc.type.statusPeer-revieweden
dc.identifier.document-number586668400001
dc.identifier.obd43931582
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