Defesa de Mestrado – Patrícia Mônica Campos Mayer Vicente – 1/2/2022

07/01/2022 06:37
Defesa de Dissertação de Mestrado
Aluna Patrícia Mônica Campos Mayer Vicente
­­Orientador Prof. Felipe Gomes de Oliveira Cabral, Dr. – DAS/UFSC
Data 01/2/2022 (terça-feira) – 15h

Videoconferência (https://meet.google.com/yhc-niwt-ddk)

Banca Prof. Felipe Gomes de Oliveira Cabral, Dr. – DAS/UFSC (presidente);

Profa. Patrícia Nascimento Pena, Dra. – DELT/UFMG;

Prof. Gustavo da Silva Viana, Dr. – COPPE/UFRJ;

Prof. Max Hering de Queiroz, Dr. – DAS/UFSC.

Título Decentralized Synchronous Diagnosis with Coordination
Resumo: Fault diagnosis is a fundamental task that must be performed in engineering systems in order to avoid undesired behaviors that can affect equipment or human safety. In this work, we consider fault diagnosis of Discrete Event Systems (DESs) modeled as automata. Recently, a new architecture for diagnosis called Decentralized Synchronous Diagnosis (DSD) has been proposed. In the DSD, local diagnosers are computed based on the fault-free behavior of the system components with the view to reduce the size of the local 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 order to circumvent this problem, in this work, we propose a decentralized synchronous diagnosis method 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. Furthermore, a practical implementation of the method to a didactic manufacturing system is also presented.