IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency: Intelligent Methods for the Factory of the Future (Technologien für die intelligente Automation, 8) - Softcover
Book 6 of 9: Technologien für die intelligente Automation
Synopsis
This 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.
"synopsis" may belong to another edition of this title.
About the Author
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.
From the Back Cover
This 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.
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IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency: Intelligent Methods for the Factory of the Future (Technologien für die intelligente Automation, 8)
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IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This open access work presents selected results from the European research and innovation project IMPROVE whichyielded novel data-based solutions to enhance machine reliability and efficiency in the fields of simulation andoptimization, condition monitoring, alarm management, and quality prediction. 140 pp. Englisch. Seller Inventory # 9783662578049
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IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency: Intelligent Methods for the Factory of the Future (Technologien fur die intelligente Automation)
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IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides engineering-lean, unsupervised methods that scale in realistic scenariosHelps to improve reliability and efficiency of complex systemsPresents examples and results from real factories. Seller Inventory # 231141303
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Improve - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency: Intelligent Methods for the Factory of the Future
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IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency | Intelligent Methods for the Factory of the Future
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Taschenbuch. Condition: Neu. IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency | Intelligent Methods for the Factory of the Future | Oliver Niggemann (u. a.) | Taschenbuch | Technologien für die intelligente Automation | vii | Englisch | 2018 | Springer | EAN 9783662578049 | Verantwortliche Person für die EU: Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Str. 46, 65189 Wiesbaden, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 113967286
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