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IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency : Intelligent Methods for the Factory of the Future
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Editor(s):
Oliver Niggemann
,
Peter Schüller
Publication date
(Print):
2018
Publisher:
Springer Berlin Heidelberg
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Book
ISBN (Print):
978-3-662-57804-9
ISBN (Electronic):
978-3-662-57805-6
Publication date (Print):
2018
DOI:
10.1007/978-3-662-57805-6
SO-VID:
3bf89e14-c37f-4513-be6d-226ca3684994
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Book chapters
pp. 1
Concept and Implementation of a Software Architecture for Unifying Data Transfer in Automated Production Systems
pp. 19
Social Science Contributions to Engineering Projects: Looking Beyond Explicit Knowledge Through the Lenses of Social Theory
pp. 37
Enable learning of Hybrid Timed Automata in Absence of Discrete Events through Self-Organizing Maps
pp. 55
Anomaly Detection and Localization for Cyber-Physical Production Systems with Self-Organizing Maps
pp. 73
A Sampling-Based Method for Robust and Efficient Fault Detection in Industrial Automation Processes
pp. 93
Validation of similarity measures for industrial alarm flood analysis?
pp. 111
Concept for Alarm Flood Reduction with Bayesian Networks by Identifying the Root Cause
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