Roy A. Gomez Morales

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In this paper, we introduce a procedure for diagnosis and treatment of faults in productive systems, i.e., a supervision strategy that considers not only the normal behavior of system's components, but also abnormal (faulty) conditions of them. The present approach uses Bayesian networks for the diagnosis and decision-making purposes, and Petri net for the(More)
Geographic dispersion and distribution of productive activities in relatively autonomous systems are viable due to the advances in mechatronics, communication and information technologies. These productive systems are then composed of several components (sub-systems) with some degree of autonomy, and these must present a collaborative relationship to assure(More)
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(More)
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