Aplicação de uma plataforma de CLPs para detecção de falhas em um sistema de controle a eventos discretos

Abstract

Industrial plants contain numerous interconnected systems that manage processes. The main objective is to develop a centralized fault management system that makes it possible to designate a programmable logic controller platform for training artificial neural networks (ANN) as a fault detection tool in discrete event control systems. The strategy applies to modeling the system and identifying the processes according to the operating time of each subsystem. The redundant programmable logic controller will act as a compensator so that there are no premature stops in operation during faulty main system maintenance. The results of the simulations carried out serve as the basis for the case study.