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

Intelligent Methods for the Factory of the Future

by Oliver Niggemann, Peter Schüller

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Book Description

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.

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.

This open book is licensed under a Creative Commons License (CC BY). You can download IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency ebook for free in PDF format (6.0 MB).

Book Details

Subject
Engineering and Technology
Publisher
Springer
Published
2018
Pages
132
Edition
1
Language
English
ISBN13
9783662578049
ISBN10
3662578042
ISBN13 Digital
9783662578056
ISBN10 Digital
3662578050
PDF Size
6.0 MB
License
CC BY

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