Dória Neto, Adrião DuarteSouza, Danilo Curvelo de2014-12-172013-05-142014-12-172013-02-01SOUZA, Danilo Curvelo de. Sistema Especialista para Supressão Online de Alarmes em Processos Industriais. 2013. 60 f. Dissertação (Mestrado em Automação e Sistemas; Engenharia de Computação; Telecomunicações) - Universidade Federal do Rio Grande do Norte, Natal, 2013.https://repositorio.ufrn.br/jspui/handle/123456789/15465Operating industrial processes is becoming more complex each day, and one of the factors that contribute to this growth in complexity is the integration of new technologies and smart solutions employed in the industry, such as the decision support systems. In this regard, this dissertation aims to develop a decision support system based on an computational tool called expert system. The main goal is to turn operation more reliable and secure while maximizing the amount of relevant information to each situation by using an expert system based on rules designed for a particular area of expertise. For the modeling of such rules has been proposed a high-level environment, which allows the creation and manipulation of rules in an easier way through visual programming. Despite its wide range of possible applications, this dissertation focuses only in the context of real-time filtering of alarms during the operation, properly validated in a case study based on a real scenario occurred in an industrial plant of an oil and gas refineryapplication/pdfAcesso AbertoSistema Especialista. Sistema Baseado em Regras. Motor de inferência. Regras. Gerenciamento de Alarmes. Supressão de AlarmesExpert System. Rule-based System. Inference Engine. Rules. Alarm Management. Alarm filteringmasterThesisCNPQ::ENGENHARIAS::ENGENHARIA ELETRICA