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dc.contributor.authorRolle, Rodrigo P. [UNESP]
dc.contributor.authorMartucci, Vinícius de O. [UNESP]
dc.contributor.authorGodoy, Eduardo P. [UNESP]
dc.date.accessioned2022-04-28T19:45:18Z
dc.date.available2022-04-28T19:45:18Z
dc.date.issued2021-01-01
dc.identifierhttp://dx.doi.org/10.1007/s40313-021-00830-w
dc.identifier.citationJournal of Control, Automation and Electrical Systems.
dc.identifier.issn2195-3899
dc.identifier.issn2195-3880
dc.identifier.urihttp://hdl.handle.net/11449/222533
dc.description.abstractThe evolution of computing science and simulation tools led to the usage of virtualization in the industrial environment. Software models became relevant information providers for the evaluation of automation processes. Digital twins (DT) are an approach for intercommunicating physical and virtual systems. DTs are intended to improve the performance of real systems by using information generated on a virtual system (“twin”) that mirrors the behavior of physical parts. This work presents a distributed framework for DT implementation, which is composed of five integrated modules. The modules’ functions are process control , logical modeling, 3D visualization and data analysis. This paper presents the implementation and performance analysis of the DT framework. A discussion about its potentials and limitations is presented as well. The analysis focuses on timing and communication latency among the DT modules. A case study implementation, composed of the DTs of two manufacturing processes, is presented to validate the operation and to provide data for performance analysis of the DT framework.en
dc.language.isoeng
dc.relation.ispartofJournal of Control, Automation and Electrical Systems
dc.sourceScopus
dc.subjectAdvanced manufacturing
dc.subjectCyber-physical systems
dc.subjectDigital twins
dc.subjectIndustry 4.0
dc.titleModular Framework for Digital Twins: Development and Performance Analysisen
dc.typeArtigo
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.description.affiliationSao Paulo State University (Unesp)
dc.description.affiliationUnespSao Paulo State University (Unesp)
dc.identifier.doi10.1007/s40313-021-00830-w
dc.identifier.scopus2-s2.0-85116058196
unesp.author.orcid0000-0002-3720-7043[1]
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