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Combining Knowledge Modeling and Machine Learning for Alarm Root Cause Analysis.

, , , , , and . MIM, page 1843-1848. International Federation of Automatic Control, (2013)

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Agents enabling cyber-physical production systems, , and . at - Automatisierungstechnik, 63 (10): 777-789 (2015)Graphical Modeling of Communication Architectures in Network Control Systems with Traceability to Requirements., , and . IECON, page 6267-6273. IEEE, (2019)Deep Q-learning for the Control of PLC-based Automated Production Systems., , and . CASE, page 1434-1440. IEEE, (2020)Agentenbasierte Automationsarchitekturen für rekonfigurierbare Produktions- und Logistiksysteme., and . Autom., 72 (3): 161-163 (February 2024)Detection of temporal dependencies in alarm time series of industrial plants, , and . Proc. 19th IFAC World Congr, (2014)Energy Management Based on a Hybrid Modeling Approach., , , and . MIM, page 158-161. International Federation of Automatic Control, (2013)Redeployment of control software during runtime for modular automation systems taking real-time and distributed I/O into consideration., , and . ETFA, page 1-4. IEEE, (2014)Modeling of Manufacturing Execution Systems: An interdisciplinary challenge., and . ETFA, page 1-8. IEEE, (2010)A configurable partial-order planning approach for field level operation strategies of PLC-based industry 4.0 automated manufacturing systems., and . Eng. Appl. Artif. Intell., (2017)Architecture-based change impact analysis in cross-disciplinary automated production systems., , , , , and . J. Syst. Softw., (2018)