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Currently, manufacturing system is being restructured to face the global competitiveness. As result, new manufacturing strategies need to be considered, taking into account aspects such as costs, quality, delivery times and flexibility, among other. However, in practice, none of these strategies can be effectively implemented if they disconsider the occurrence of faults in the manufacturing system...
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 synthesis, modeling and control purposes...
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