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A hybrid twin based on machine learning enhanced reduced order model for real-time simulation of magnetic bearings.

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Title: A hybrid twin based on machine learning enhanced reduced order model for real-time simulation of magnetic bearings.
Authors: Ghnatios, Chady1, chady.ghnatios@ensam.eu, Rodriguez, Sebastian2, Tomezyk, Jerome3, Dupuis, Yves3, Mouterde, Joel3, Da Silva, Joaquim3, Chinesta, Francisco4
Source: Advanced Modeling & Simulation in Engineering Sciences; 2/3/2024, Vol. 11 Issue 1, p1-15, 15p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 175236104
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A hybrid twin based on machine learning enhanced reduced order model for real-time simulation of magnetic bearings.
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  Data: <searchLink fieldCode="JN" term="%22Advanced+Modeling+%26+Simulation+in+Engineering+Sciences%22">Advanced Modeling & Simulation in Engineering Sciences</searchLink>; 2/3/2024, Vol. 11 Issue 1, p1-15, 15p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=175236104
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1186/s40323-024-00258-2
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      – Code: eng
        Text: English
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        PageCount: 15
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      – TitleFull: A hybrid twin based on machine learning enhanced reduced order model for real-time simulation of magnetic bearings.
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            NameFull: Ghnatios, Chady
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            NameFull: Mouterde, Joel
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            – D: 03
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              Text: 2/3/2024
              Type: published
              Y: 2024
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