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dc.contributor.editorNiggemann, Oliver
dc.contributor.editorSchüller, Peter
dc.date.accessioned2021-02-10T15:01:42Z
dc.date.available2021-02-10T15:01:42Z
dc.date.issued2018
dc.date.submitted2020-03-18 13:36:15
dc.date.submitted2020-04-01T09:10:30Z
dc.identifier1006861
dc.identifierOCN: 1049975285
dc.identifierhttp://library.oapen.org/handle/20.500.12657/23294
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/39089
dc.description.abstractThis open access work presents selected results from the European research and innovation project IMPROVE which yielded novel data-based solutions to enhance machine reliability and efficiency in the fields of simulation and optimization, condition monitoring, alarm management, and quality prediction.
dc.languageEnglish
dc.relation.ispartofseriesTechnologien für die intelligente Automation
dc.rightsopen access
dc.subject.otherEngineering
dc.subject.otherQuality control
dc.subject.otherReliability
dc.subject.otherIndustrial safety
dc.subject.otherRobotics
dc.subject.otherAutomation
dc.subject.otherInput-output equipment (Computers)
dc.subject.otherthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGP Production and industrial engineering::TGPR Reliability engineering
dc.subject.otherthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering::TJFM1 Robotics
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UT Computer networking and communications
dc.titleIMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency
dc.title.alternativeIntelligent Methods for the Factory of the Future
dc.typebook
oapen.identifier.doi10.1007/978-3-662-57805-6
oapen.relation.isPublishedBy9fa3421d-f917-4153-b9ab-fc337c396b5a
oapen.pages129
oapen.place.publicationBerlin, Heidelberg


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