Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/39562
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dc.contributor.authorCainelli, Gustavo-
dc.contributor.authorRauchhaupt, Lutz-
dc.contributor.authorUnderberg, Lisa-
dc.date.accessioned2021-11-22T10:54:47Z-
dc.date.available2021-11-22T10:54:47Z-
dc.date.issued2021-
dc.date.submitted2021-
dc.identifier.urihttps://opendata.uni-halle.de//handle/1981185920/41519-
dc.identifier.urihttp://dx.doi.org/10.25673/39562-
dc.description.abstractIn industry 4.0, production systems must be able to adapt to produce products with customer requirements. However, not only this kind of flexibility is needed. The system must also be able to adapt itself to keep working if unforeseen events occur. A system capable of this is called a resilient system. Resilience is the ability not to fail completely if a subsystem fails. This paper aims to introduce the concept of resilience in industrial 5G systems to avoid production downtime. Our approach is based on methods of the Industrie 4.0 concept in order to be able to create digital twins for 5G-networked automation systems. The digital twin, based on the Asset Administration Shell, will allow collaboration between automation and communication systems, adapting the behaviour of the process in case of unforeseen events. For this, the communication system must be considered during the development of the digital twin.eng
dc.description.sponsorshipThis work was funded in parts by the project “5G Industrial Working and Co-Working Space (5GIWCoW)” under contract 165GU041D, funded by the Federal Ministry of Transport and Digital Infrastructure, Germany-
dc.language.isoeng-
dc.relation.ispartofhttps://opendata.uni-halle.de//handle/1981185920/41505-
dc.relation.urihttps://opendata.uni-halle.de//handle/1981185920/41505-
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0/-
dc.subject5G systemseng
dc.subjectIndustrie 4.0ger
dc.subjectResilient systemeng
dc.subject.ddc621.3-
dc.titleSupporting resilience with industrial 5G systems and Industrie 4.0-
dc.typeConference Object-
dc.identifier.urnurn:nbn:de:gbv:ma9:1-1981185920-415198-
local.versionTypepublishedVersion-
local.openaccesstrue-
dc.identifier.ppn1777917883-
local.bibliographicCitation.year2021-
cbs.sru.importDate2021-11-18T07:12:10Z-
local.bibliographicCitationEnthalten in Kommunikation in der Automation (KommA 2021) - Magdeburg : Universitätsbibliothek, 2021-
local.accessrights.dnbfree-
Appears in Collections:Fakultät für Elektrotechnik und Informationstechnik (OA)

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