LEADER 04884 am 22007933u 450 001 9910299919103321 005 20230125224245.0 010 $a3-662-57805-0 024 7 $a10.1007/978-3-662-57805-6 035 $a(CKB)4100000005820434 035 $a(DE-He213)978-3-662-57805-6 035 $a(MiAaPQ)EBC5496000 035 $a(Au-PeEL)EBL5496000 035 $a(OCoLC)1049975285 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/39089 035 $a(PPN)229911951 035 $a(EXLCZ)994100000005820434 100 $a20180820d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency$b[electronic resource] $eIntelligent Methods for the Factory of the Future /$fedited by Oliver Niggemann, Peter Schüller 205 $a1st ed. 2018. 210 $aBerlin, Heidelberg$cSpringer Nature$d2018 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer Vieweg,$d2018. 215 $a1 online resource (VII, 129 p. 52 illus., 29 illus. in color.) 225 1 $aTechnologien für die intelligente Automation, Technologies for Intelligent Automation,$x2522-8579 ;$v8 311 $a3-662-57804-2 327 $aConcept and Implementation of a Software Architecture for Unifying Data Transfer in Automated Production Systems -- Social Science Contributions to Engineering Projects: Looking Beyond Explicit Knowledge Through the Lenses of Social Theory -- Enable learning of Hybrid Timed Automata in Absence of Discrete Events through Self-Organizing Maps -- Anomaly Detection and Localization for Cyber-Physical Production Systems with Self-Organizing Maps -- A Sampling-Based Method for Robust and Efficient Fault Detection in Industrial Automation Processes -- Validation of similarity measures for industrial alarm flood analysis -- Concept for Alarm Flood Reduction with Bayesian Networks by Identifying the Root Cause. 330 $aThis open access work presents selected results from the European research and innovation project IMPROVE which yielded novel data-based solutions to enhance machine reliability and efficiency in the fields of simulation and optimization, condition monitoring, alarm management, and quality prediction. The Editors Prof. Dr. Oliver Niggemann is Professor for Artificial Intelligence in Automation. His research interests are in the fields of machine learning and data analysis for Cyber-Physical Systems and in the fields of planning and diagnosis of distributed systems. He is a board member of the research institute inIT and deputy director at the Fraunhofer Application Center Industrial Automation INA located in Lemgo. Dr. Peter Schüller is postdoctoral researcher at Technische Universität Wien. His research interests are hybrid reasoning systems that combine Knowledge Representation and Machine Learning and applications in the fields of Cyber-Physical systems and Natural Language Processing. 410 0$aTechnologien für die intelligente Automation, Technologies for Intelligent Automation,$x2522-8579 ;$v8 606 $aQuality control 606 $aReliability 606 $aIndustrial safety 606 $aRobotics 606 $aAutomation 606 $aInput-output equipment (Computers) 606 $aQuality Control, Reliability, Safety and Risk$3https://scigraph.springernature.com/ontologies/product-market-codes/T22032 606 $aRobotics and Automation$3https://scigraph.springernature.com/ontologies/product-market-codes/T19020 606 $aInput/Output and Data Communications$3https://scigraph.springernature.com/ontologies/product-market-codes/I12042 610 $aEngineering 610 $aQuality control 610 $aReliability 610 $aIndustrial safety 610 $aRobotics 610 $aAutomation 610 $aInput-output equipment (Computers) 615 0$aQuality control. 615 0$aReliability. 615 0$aIndustrial safety. 615 0$aRobotics. 615 0$aAutomation. 615 0$aInput-output equipment (Computers). 615 14$aQuality Control, Reliability, Safety and Risk. 615 24$aRobotics and Automation. 615 24$aInput/Output and Data Communications. 676 $a658.56 700 $aNiggemann$b Oliver$4edt$01356466 702 $aNiggemann$b Oliver$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSchüller$b Peter$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299919103321 996 $aIMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency$93361035 997 $aUNINA