Dissertações

URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/174

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2015 - 20192

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Assunto: search.filters.subject.Mineração de Dados

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Agora exibindo 1 - 2 de 2
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    Análise dos Impactos Harmônicos na Qualidade da Energia Elétrica Utilizando KDD – Estudo de Caso na Universidade Federal do Pará
    (Instituto de Tecnologia, 2019) SILVA, Waterloo Ferreira da; TOSTES, Maria Emilia de Lima
    This work presents an analysis of data related to Power Quality (PQ), focusing on the significant increase in harmonic distortion levels of current and voltage due to the growing use of non-linear loads and power electronics-based equipment. A methodology was developed using computational intelligence (CI) and data mining techniques to analyze data collected by power quality meters installed at the Federal University of Pará (UFPA). The KDD process was applied, including collection, selection, cleaning, integration, transformation, reduction, mining, interpretation, and evaluation of the data. The Naive Bayes classifier was used in the data mining phase, and the results demonstrated the applicability of the KDD process in the analysis of Total Harmonic Distortion of Voltage at the Common Coupling Point, which can be applied in commercial, residential, and industrial areas.
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    Análise dos Impactos Harmônicos em uma Indústria de Manufatura de Eletroeletrônicos Utilizando Árvores de Decisão
    (Universidade Federal do Pará, 2015) NOGUEIRA, Rildo de Mendonça; TOSTES, Maria Emília de Lima
    Power Quality (PQ) is constantly the subject of studies, especially in the industrial sector, where large loads of electrical systems are concentrated. With the evolution of industrial processes and the introduction of new technologies, electronic equipment that generates disturbances in the systems has been added, affecting the quality of electricity. This work analyzes the harmonic impacts in an electronics manufacturing industry in the Manaus Industrial Pole (PIM), using data mining techniques and decision trees to monitor and diagnose coupling points and processes that present significant harmonic content. The objective is to identify and quantify the levels of harmonic distortions, avoiding regulatory penalties and improving the quality of electrical energy.