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- Onori, Mauro, 1961-, et al.
(författare)
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Evolvable Production Systems: new applications in mechatronic production equipment
- 2010
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Ingår i: Industrial Electronics (ISIE). - 9781424463909 ; , s. 2653-2657
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Konferensbidrag (refereegranskat)abstract
- Current major roadmapping efforts have all clearly underlined that true industrial sustainability will require far higher levels of systems’ autonomy and adaptability. Inaccordance with these recommendations, the Evolvable Production Systems (EPS) has aimed at developing such technological solutions and support mechanisms. Since its inception in 2002 as a next generation of production systems, theconcept is being further developed and tested to emerge as aproduction system paradigm. Characteristically, Evolvablesystems have distributed control, and are composed of intelligent modules with embedded control. A concerted effort is beingexerted through European research projects in collaborationwith manufacturers, technology/equipment suppliers, and universities. After introducing EPS, this paper presents current developments and applications.
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- Ribeiro, Luis, et al.
(författare)
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Emergent Diagnosis for Evolvable Production Systems
- 2010
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Ingår i: CDROM Proceedings ISIE 2010 IEEE International Symposium on Industrial Electronics. - : IEEE. - 9781424463909 ; , s. 2647-2652
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Konferensbidrag (refereegranskat)abstract
- A wide range of paradigms have been proposed that, taking advantage of the emerging IT technologies, increasingly support autonomous and evolvable shop-floors which are able to react to disturbances and opportunities. Among the emerging paradigmatic proposals the concept of Evolvable Production System (EPS) is emerging as it proposes a holistic approach with clear prospects for enhancing business and environmental competitiveness. EPS systems are knowledge driven and are dynamic compositions of intelligent and interacting modules. While most of the research in such distributed industrial systems is focused in the study and establishment of control structures, the problem of diagnosis has been left relatively unattended. There are however significant open challenges in the diagnosis of such modular systems including: understanding fault propagation and ensuring scalability and co-evolution. A diagnostic architecture is proposed that addresses these issues.
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