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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.classificationbic Book Industry Communication::T Technology, engineering, agriculture::TG Mechanical engineering & materials::TGP Production engineering::TGPR Reliability engineering
dc.subject.classificationbic Book Industry Communication::T Technology, engineering, agriculture::TJ Electronics & communications engineering::TJF Electronics engineering::TJFM Automatic control engineering::TJFM1 Robotics
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UT Computer networking & communications
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


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