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Supervisory system for hybrid productive systems based on Bayesian networks and OO-DPT Nets

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3 Author(s)

This work presents a supervisory fault tolerant system for hybrid productive systems based on Bayesian networks and OO-DPT (Object-Oriented Differential Predicate-Transition Nets) formalism. Here, systems are characterized as hybrid when they contain continuous and discrete variables and both are fundamental to describe the systemspsila dynamics. The present approach introduce a procedure for the construction of models for analysis of both normal an abnormal behavior of productive hybrid systems and that can be converted in a control specification proper for practical implementation. As an example, we consider an acid recovery process of a pickle line in a steel manufacturing company. Special emphasis is laid on methodological issues and industrial applications.

Published in:

Emerging Technologies and Factory Automation, 2008. ETFA 2008. IEEE International Conference on

Date of Conference:

15-18 Sept. 2008

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