Show simple item record

dc.contributor.editorNiggemann, Oliver
dc.contributor.editorSchüller, Peter
dc.date.accessioned2020-03-18 13:36:15
dc.date.accessioned2020-04-01T09:10:30Z
dc.date.available2020-04-01T09:10:30Z
dc.date.issued2018
dc.identifier1006861
dc.identifier.urihttp://library.oapen.org/handle/20.500.12657/23294
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.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGP Production and industrial engineering::TGPR Reliability engineeringen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering::TJFM1 Roboticsen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UT Computer networking and communicationsen_US
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.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.isPublishedBy6c6992af-b843-4f46-859c-f6e9998e40d5
oapen.pages129
oapen.place.publicationBerlin, Heidelberg


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record