IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency

Intelligent Methods for the Factory of the Future

Av Oliver Niggemann, Peter Schüller

1409 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Beskrivning

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.

Produktinformation

Utgivningsdatum: 2018-08-31
Mått: 168 x 240 x 8 mm
Vikt: 248 g
Format: Häftad
Språk: Engelska
Serie: Technologien für die intelligente Automation
Antal sidor: 129
Förlag: Springer Fachmedien Wiesbaden
ISBN: 9783662578049

Utforska kategorier

Mer information

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.

Butikslager

Ej i lager i butik.

Betyg & recensioner

0 recensioner

Inga recensioner tillgängliga.