IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency Intelligent Methods for the Factory of the Future

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 predictio...

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Ētahi atu kaituhi: Niggemann, Oliver (Editor), Schüller, Peter (Editor)
Hōputu: Tāhiko Wāhanga pukapuka
Reo:Ingarihi
I whakaputaina: Berlin, Heidelberg Springer Nature 2018
Rangatū:Technologien für die intelligente Automation
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Whakarāpopototanga: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.
Whakaahuatanga ōkiko:1 electronic resource (129 p.)
ISBN:978-3-662-57805-6
Urunga:Open Access