Doutorado em Engenharia Elétrica e da Computação (EMC)
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Navegando Doutorado em Engenharia Elétrica e da Computação (EMC) por Autor "Marques, André Pereira"
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Item Diagnóstico otimizado de transformadores de potência mediante a integração de técnicas preditivas(Universidade Federal de Goiás, 2018-02-22) Marques, André Pereira; Brito, Leonardo da Cunha; http://lattes.cnpq.br/6660680440182900; Ribeiro, Cacilda de Jesus; http://lattes.cnpq.br/8998911644222586; Ribeiro, Cacilda de Jesus; Brito, Leonardo da Cunha; Domingues, Elder Geraldo; Rocha, Adson Silva; Arruda, ColemarThe effective application of predictive maintenance techniques for power transformers is essential for the early detection of defects and failures, and in order to trigger scheduled preventive or corrective actions. This precludes the need for urgent and/or emergency interventions, aiming to reduce unscheduled power outages, which are usually more costly and cause great inconvenience to consumers and the electric power system. In this context, this work focuses on the development of an optimized diagnostic methodology for power transformers, by integrating eleven predictive techniques (with 27 quantities). These techniques are analyzed with respect to voltage level, type of electrical connection and age of the transformers – when applicable –, based on the experience of specialists/analysts, on standards and technical guidelines, and on statistical analyses of a database of actual field and laboratory tests. The analyses of the validation of the results are significant and presented through a specialized system, demonstrating their practical application. The novelty of this thesis consists in the development of an original classification method, called Normalized Doubly Weighted Sum (NDWS), and in the detailed description of the predictive techniques that are integrated, their functionalities, the creation of equations, the definition of criteria and parameters, with their weights and scores for the classification of “A” (excellent) to “E” (very poor), and recommended actions aimed at underpinning decision- making, thereby contributing to the body of studies in this field. Hence, it can be concluded that this work offers a comprehensive and efficient tool to aid in the optimized diagnosis of power transformers, insulated with kraft paper and immersed in mineral insulating oil, providing effective diagnostics and maintenance of these devices, and thus increasing the reliability of electric power systems.