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IMPROVE -- innovative modelling approaches for production systems to raise validatable efficiency : intelligent methods for the factory of the future / Oliver Niggemann, Peter Schüller, editors.

Niggemann, Oliver, editor.; Schüller, Peter, editor.
2018
T58.4
Available Online
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Title
IMPROVE -- innovative modelling approaches for production systems to raise validatable efficiency : intelligent methods for the factory of the future / Oliver Niggemann, Peter Schüller, editors.
ISBN
9783662578056 (electronic book)
3662578050 (electronic book)
9783662578049
3662578042
DOI
https://doi.org/10.1007/978-3-662-57805-6
Published
Berlin, Germany : Springer Vieweg, 2018.
Language
English
Description
1 online resource (vii, 129 pages) : illustrations.
Item Number
10.1007/978-3-662-57805-6 doi
Call Number
T58.4
Dewey Decimal Classification
658.5/15
Summary
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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Open access.
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed August 27, 2018).
Added Author
Niggemann, Oliver, editor.
Schüller, Peter, editor.
Series
Technologien für die intelligente Automation, Technologies for Intelligent Automation ; Bd. 8
Available in Other Form
Print version: 9783662578049
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