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dc.rights.licenseopenen_US
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorDIAKITÉ, Mama
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorTRAORE, Mamadou Kaba
IDREF: 112136893
dc.date.accessioned2024-09-10T09:58:01Z
dc.date.available2024-09-10T09:58:01Z
dc.date.issued2024-01-31
dc.identifier.issn0037-5497en_US
dc.identifier.urioai:crossref.org:10.1177/00375497241228281
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/201507
dc.description.abstractEnNowadays, smart systems require the use of Digital Twins (DTs) for their engineering and management. Self-updating capability is a key feature in the DT technology. This raises the challenge of model inference from data collected on the system and requires a formal framework be defined, in which a system representation can be coupled with inference methods to achieve automatic model updating. While data-based process model inference is a well-known technique, the inference of a simulation model from existing knowledge and collected data is yet an unexplored area. In this paper, we first clarify and explicitly define some key elements of the terminology related to the DT concept, including model update and model inference, and we propose a framework of inference capabilities based on a formal DT specification, which formally captures the conditions for different updating capabilities and relates them. That way, on one hand, the framework enables the use of symbolic approaches to build a DT with the desired inference capability, and on the other hand, it establishes a partial order relation between inference capabilities. Through a case study, we show how the framework helps formally specifying the DT model of a mobility system toward realizing a fully capable DT.
dc.language.isoENen_US
dc.sourcecrossref
dc.subject.enDigital twin
dc.subject.enFormal specification
dc.subject.enInference capability
dc.subject.enModel inference
dc.title.enFormalizing a framework of inference capabilities for Digital Twin engineering
dc.title.alternativeSimulationen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1177/00375497241228281en_US
dc.subject.halSciences de l'ingénieur [physics]en_US
bordeaux.journalSIMULATION: Transactions of The Society for Modeling and Simulation Internationalen_US
bordeaux.volume100en_US
bordeaux.hal.laboratoriesIMS : Laboratoire de l'Intégration du Matériau au Système - UMR 5218en_US
bordeaux.issue9en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcedissemin
hal.identifierhal-04692929
hal.version1
hal.date.transferred2024-09-10T09:58:03Z
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
workflow.import.sourcedissemin
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=SIMULATION:%20Transactions%20of%20The%20Society%20for%20Modeling%20and%20Simulation%20International&rft.date=2024-01-31&rft.volume=100&rft.issue=9&rft.eissn=0037-5497&rft.issn=0037-5497&rft.au=DIAKIT%C3%89,%20Mama&TRAORE,%20Mamadou%20Kaba&rft.genre=article


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