Publications in Scientific Journals:
L. Siafara, H. Kholerdi, A. Bratukhin, N. TaheriNejad, A. Jantsch:
"SAMBA - An architecture for adaptive cognitive control of distributed Cyber-Physical Production Systems based on its self-awareness.";
E&I Elektrotechnik und Informationstechnik,
135
(2018),
3;
270
- 277.
English abstract:
Factories in Industry 4.0 are growing in complexity due to the incorporation of a large number of Cyber-Physical System (CPSs) which are logically and often physically distributed. Traditional monolithic control and monitoring structures are not able to address the increasing requirements regarding flexibility, operational time, and efficiency as well as resilience. Self-Aware health Monitoring and Bio-inspired coordination for distributed Automation systems (SAMBA) is a cognitive application architecture which processes information from the factory floor and interacts with the Manufacturing Execution System (MES) to enable automated control and supervision of decentralized CPSs. The proposed architecture increases the ability of the system to ensure the quality of the process by intelligently adapting to rapidly changing environments and conditions.
German abstract:
Industrie 4.0-Fabriken nehmen rasch an Komplexität zu aufgrund der Einbeziehung einer großen Anzahl von cyber-physischer Systeme (CPS), die logisch und oft physisch verteilt sind. Traditionelle monolithische Kontrolle und Überwachungsstrukturen sind nicht in der Lage, den steigenden Anforderungen hinsichtlich Flexibilität, Betriebszeit und Effizienz sowie auch Belastbarkeit gerecht zu werden. ,,Self-Aware Health Monitoring and Bio-inspired coordination for distributed Automation systems" (SAMBA) ist eine kognitive Anwendungsarchitektur, die Informationen von der Fabrik verarbeitet und mit dem Manufacturing Execution System (MES) zur automatisierten Kontrolle und Überwachung von dezentralen CPS interagiert. Die vorgeschlagene Architektur erhöht die Fähigkeit eines Systems, durch intelligente Anpassung an eine sich schnell verändernde Umgebung bzw. Bedingungen die Qualität des Prozesses zu gewährleisten.
Keywords:
self-awareness, cognitive systems, dynamic clustering, autonomous collaborating objects, system health monitoring
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1007/s00502-018-0614-7
Electronic version of the publication:
https://publik.tuwien.ac.at/files/publik_273357.pdf
Related Projects:
Project Head Nima TaheriNejad:
SAMBA
Created from the Publication Database of the Vienna University of Technology.