Technologien für die intelligente Automation: Intelligent Methods for the Factory of the Future
Niggemann, Oliver; Schüller, Peter
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.
Details
Published by: Springer Vieweg
Publication Date: 2018-08-31
Format: Paperback
ISBN-13: 9783662578049
DOI: 10.1007/978-3-662-57805-6
Dimensions: 240cm x168cm
Pages: 129