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dc.contributor.authorArnarson, Halldor
dc.contributor.authorBremdal, Bernt Arild
dc.contributor.authorSolvang, Bjørn
dc.date.accessioned2023-02-21T14:14:15Z
dc.date.available2023-02-21T14:14:15Z
dc.date.issued2022-08-25
dc.description.abstractAs the world is moving towards more personalized and customized manufacturing, the manufacturing system needs to adapt. One method can be to integrate industry 4.0 concepts in reconfigurable manufacturing systems (RMS). This allows the manufacturing system to become more self-sustaining and flexible at the same time. There is however, a lack of research on how to integrate industry 4.0 concepts such as industrial Big Data (IBD) into RMS. This paper looks at how IBD techniques can be used on an RMS for classification and how to collect data from an RMS. A case study where five different movable platforms are identified with an accuracy of more than 85% is showcased.en_US
dc.identifier.citationArnarson H, Bremdal BA, Solvang B. Reconfigurable Manufacturing: Towards an industrial Big Data approach. IEEE ASME International Conference on Advanced Intelligent Mechatronics. 2022:632-637en_US
dc.identifier.cristinIDFRIDAID 2111477
dc.identifier.doi10.1109/AIM52237.2022.9863341
dc.identifier.issn2159-6247
dc.identifier.issn2159-6255
dc.identifier.urihttps://hdl.handle.net/10037/28583
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartofArnarson, H. (2023). Intelligent self- and reconfigurable manufacturing system. (Doctoral thesis). <a href=https://hdl.handle.net/10037/31897>https://hdl.handle.net/10037/31897</a>.
dc.relation.journalIEEE ASME International Conference on Advanced Intelligent Mechatronics
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleReconfigurable Manufacturing: Towards an industrial Big Data approachen_US
dc.type.versionacceptedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution 4.0 International (CC BY 4.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution 4.0 International (CC BY 4.0)