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

Intelligent Methods for the Factory of the Future

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Contributor(s)
Niggemann, Oliver (editor)
Schüller, Peter (editor)
Language
English
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Abstract
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.
URI
http://library.oapen.org/handle/20.500.12657/23294
Keywords
Engineering; Quality control; Reliability; Industrial safety; Robotics; Automation; Input-output equipment (Computers)
DOI
10.1007/978-3-662-57805-6
Publisher
Springer Nature
Publisher website
https://www.springernature.com/gp/products/books
Publication date and place
Berlin, Heidelberg, 2018
Series
Technologien für die intelligente Automation,
Classification
Reliability engineering
Robotics
Computer networking and communications
Pages
129
Rights
https://creativecommons.org/licenses/by/4.0