Leon Urbas
Leon Urbas
Chair of Process Control Systems and Process Systems Engineering Group
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Linked data as integrating technology for industrial data
M Graube, J Pfeffer, J Ziegler, L Urbas
International Journal of Distributed Systems and Technologies (IJDST) 3 (3 …, 2012
Open source as enabler for OPC UA in industrial automation
F Palm, S Grüner, J Pfrommer, M Graube, L Urbas
2015 IEEE 20th Conference on Emerging Technologies & Factory Automation …, 2015
A secure hybrid dynamic-state estimation approach for power systems under false data injection attacks
Z Kazemi, AA Safavi, F Naseri, L Urbas, P Setoodeh
IEEE Transactions on Industrial Informatics 16 (12), 7275-7286, 2020
Integrated virtual commissioning an essential activity in the automation engineering process: From virtual commissioning to simulation supported engineering
M Oppelt, L Urbas
IECON 2014-40th Annual Conference of the IEEE Industrial Electronics Society …, 2014
Individual differences in navigation between sharable content objects—an evaluation study of a learning module prototype
B Gauss, L Urbas
British Journal of Educational Technology 34 (4), 499-509, 2003
Integration of modular process units into process control systems
J Ladiges, A Fay, T Holm, U Hempen, L Urbas, M Obst, T Albers
IEEE Transactions on Industry Applications 54 (2), 1870-1880, 2017
R43ples: Revisions for triples
M Graube, S Hensel, L Urbas
Proc. of LDQ, 2014
Big bang–big crunch learning method for fuzzy cognitive maps
E Yesil, L Urbas
International Journal of Computer and Information Engineering 4 (11), 1756-1765, 2010
Automatic model generation for virtual commissioning based on plant engineering data
O Mathias, W Gerrit, D Oliver, L Benjamin, S Markus, U Leon
IFAC Proceedings Volumes 47 (3), 11635-11640, 2014
High-level behavior representation languages revisited
FE Ritter, SR Haynes, M Cohen, A Howes, B John, B Best, C Lebiere, ...
Proceedings of ICCM-2006-Seventh International Conference on Cognitive …, 2006
Technical evaluation of the flexibility of water electrolysis systems to increase energy flexibility: A review
H Lange, A Klose, W Lippmann, L Urbas
International Journal of Hydrogen Energy, 2023
Information models in OPC UA and their advantages and disadvantages
M Graube, S Hensel, C Iatrou, L Urbas
2017 22nd IEEE International Conference on Emerging Technologies and Factory …, 2017
Orchestration requirements for modular process plants in chemical and pharmaceutical industries
A Klose, S Merkelbach, A Menschner, S Hensel, S Heinze, L Bittorf, ...
Chemical Engineering & Technology 42 (11), 2282-2291, 2019
Two-stage learning based fuzzy cognitive maps reduction approach
MF Hatwágner, E Yesil, MF Dodurka, E Papageorgiou, L Urbas, LT Kóczy
IEEE Transactions on Fuzzy Systems 26 (5), 2938-2952, 2018
Process Control Systems Engineering
L Urbas
Oldenbourg Industrieverlag, 2012
Beyond app-chaining: Mobile app orchestration for efficient model driven software generation
J Ziegler, M Graube, J Pfeffer, L Urbas
Proceedings of 2012 IEEE 17th International Conference on Emerging …, 2012
Information modeling for middleware in automation
W Mahnke, A Gössling, M Graube, L Urbas
ETFA2011, 1-7, 2011
The digital twin–your ingenious companion for process engineering and smart production
A Bamberg, L Urbas, S Broecker, M Bortz, N Kockmann
Chemical Engineering & Technology 44 (6), 954-961, 2021
The machine learning life cycle in chemical operations–status and open challenges
M Gaertler, V Khaydarov, B Klöpper, L Urbas
Chemie Ingenieur Technik 93 (12), 2063-2080, 2021
Co-simulation with OPC UA
S Hensel, M Graube, L Urbas, T Heinzerling, M Oppelt
2016 IEEE 14th International Conference on Industrial Informatics (INDIN), 20-25, 2016
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