Diagnóstico Síncrono Descentralizado com Coordenação

Abstract

Recently, a new architecture for decentralized diagnosis called Decentralized Syn- chronous Diagnosis has been proposed. In this scheme, local diagnosers are computed based on the fault-free behavior of the system components, which reduces the size of the diagnosers for implementation. Although this method has been successfully implemented, its main drawback is the growth of the fault-free language of the system for diagnosis, which reduces the diagnosis efficiency. In this work, in order to circumvent this problem, we propose a decentralized synchronous diagnosis with coordination (DSDC) that refines the diagnosis status using cluster automata of the local components. To do so, we also propose a communication protocol between local state estimators and the coordinator. We show that this method prevents the growth of the fault-free language for diagnosis, which guarantees the same diagnosis performance as the traditional centralized diagnosis method. In addition, to show the usability of the method, a practical implementation in a didactic manufacturing system is presented.