Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
L. Siafara, H. Kholerdi, A. Bratukhin, N. TaheriNejad, A. Wendt, A. Jantsch, A. Treytl, T. Sauter:
"SAMBA: A Self-Aware Health Monitoring Architecture for Distributed Industrial Systems";
Poster: Annual Conference of the IEEE Industrial Electronics Society (IECON),
Beijing, China;
29.10.2017
- 01.11.2017; in: "IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society",
IEEE,
(2017),
ISBN: 978-1-5386-1127-2;
Paper-Nr. 3512-3517,
6 S.
Kurzfassung englisch:
In the context of Industry 4.0, constantly evolving shop floors generate the need for a highly adaptive and autonomous automation system with lean maintenance, minimum downtime, maximum reliability, and resilience. Future Manufacturing Execution Systems (MESs) will be more complex and dynamic as well as distributed physically and logically. This makes it very difficult, if not impossible, for the conventional centralized architectures to effectively control these vibrant Cyber-Physical Production Systems (CPPSs). To address these issues, we propose Self-Aware health Monitoring and Bio-inspired coordination for distributed Automation systems (SAMBA), an architecture which tackles these challenges. SAMBA increases the ability of the system to intelligently adapt to rapidly changing environment and conditions of future CPPSs.
Schlagworte:
Industry 4.0, Manufacturing Execution Systems, Cyber Physical Production System, Self-aware HEalth Monitoring, Automation Systems, Distributed Systems
"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/IECON.2017.8216594
Elektronische Version der Publikation:
http://publik.tuwien.ac.at/files/publik_265853.pdf
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.