Rede bayesiana para estimativa da confiabilidade de transformadores de potência imersos em óleo mineral isolante utilizando técnicas preditivas de manutenção
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2019-03-12
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Universidade Federal de Goiás
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The knowledge of the criticality of the state of an electrical equipment is indispensable to the determination of efficient actions, regarding the preventive maintenance or, if necessary, corrective to it applicable. For power transformers, which, due of their strategic importance for the transmission and distribution of electric power, demands great attention from the companies maintaining the electric system, information about reliability are of great utility to decision making, assisting in determining which interventions are necessary to ensure the uninterrupted supply of electricity to the consumer units. In this context, this work presents, as contribution, a Bayesian network for determining the reliability of mineral insulating oil filled power transformers, whose evidence of the component nodes is obtained from the results of the application of the main predictive maintenance techniques, namely: electrical tests; degree of polymerization of paper, particle counting, dissolved gas analysis (chromatography), physicochemical tests and dibenzyl disulfide (DBDS) in mineral insulating oil; and visual inspections and local checks. The main objective is to provide, to the electrical system maintenance teams, concrete information about the criticality of the state of power transformers, providing adequate definition of the applicable interventions, optimizing the available technical and monetary resources and, at the same time, maximizing the reliability of the electric system to which these equipments belong. Therefore, it is expected that there will be a reduction of unscheduled supply interruptions associated with failures in power transformers operation. This way, we hope to reach a substantial improvement of the services provided to final consumers, with direct impacts on the quality indicators of the electricity supply established by the Regulatory Agent.
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DIAS, Y. A. Rede bayesiana para estimativa da confiabilidade de transformadores de potência imersos em óleo mineral isolante utilizando técnicas preditivas de manutenção. 2019. 110 f. Dissertação (Mestrado em Engenharia Elétrica e da Computação) - Universidade Federal de Goiás, Goiânia, 2019.