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Intelligent hybrid system: A reliability based failure control application

Abstract:

Failure management in processes, equipment or plants acquire more importance in modern industry every day, as it allows us to minimize unexpected failure risk and guaranties a greater reliability, safety, disposition and productivity in industry. On the other hand, the integration of different intelligent techniques (such as Artificials Neural Networks, Fuzzy Logic, Genetic Algorithms, etc.) in a hybrid architecture allows us to overcome individual limitations in those techniques. In this paper, an intelligent model is designed for failure management based on Reliability Centered Maintenance methodology, Fuzzy Logic and Neural Networks. The system allows us to generate adequate maintenance tasks according to the historical data of the equipment involved.