Documentação de convênios
URI permanente desta comunidadehttps://rigalileo.itegam.org.br/handle/123456789/173
Trabalhos ténico-científico oriundos de convênios com universidades para oferta de turmas de mestrado e doutorados no Estado do Amazonas
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Resultados da Pesquisa
Item Naive Bayes applied impacts harmonic analysis in industrial electrical systems(INSTITUTO DE TECNOLOGIA, 2015) SILVA, Waterloo Ferreira da; NOGUEIRA, Rildo de Mendonça; CASTRO, Anderson; SANTANA, Ádamo L.; TOSTES, Maria Emília de Lima; Profa. Dra. Maria Adrina Paixão de Souza da Silva.This paper applies the Naive Bayes data mining technique to analyze the impact of current harmonic distortion in an industrial facility located in the Manaus Industrial Pole. During a week-long measurement campaign, data were collected from circuits such as compressors, air conditioning systems, and tablet and notebook testing lines. Using tools like Weka and Genie, the analysis identified correlations between specific harmonic orders and increases in total harmonic distortion of voltage (THDv), with the 7th-order harmonic having the highest impact.Item Planning Passive Filters using NSGA II for Industry Applications(INSTITUTO DE TECNOLOGIA, 2014) LEITE, Jandecy Cabral; SILVA, Waterloo Ferreira da; CASTRO, Anderson de Oliveira; NOGUEIRA, Rildo de Mendonça; AZEVEDO, Manoel Socorro Santos; Prof. Dra. ADRIANA RIBEIRO CARNEIRO FOLADORThis paper presents a multi-objective optimization approach for planning passive harmonic filters in industrial systems using the NSGA-II genetic algorithm. The method maximizes reactive power compensation benefits, minimizes harmonic distortion in the PCC current and bus voltages, and complies with power quality standards. The algorithm determines the filters' location, configuration, and parameters, demonstrating effectiveness in a practical example.Item Naive Bayes aplicados en el análisis de impactos armónicos en los sistemas eléctricos industriales(INSTITUTO DE TECNOLOGIA, 2015) SILVA, Waterloo Ferreira da; NOGUEIRA, Rildo de Mendonça; OLIVEIRA, Edson Farias de; SANTANA, Ádamo L.; TOSTES, Maria Emília de Lima; SOARES, Thiago Mota; Prof Dr. Walter Barra JuniorThis paper presents an analysis of harmonic current impacts in an industrial facility in the Manaus Industrial Zone using Naive Bayes classification, a data mining technique. The study measures total harmonic distortion (THDv) and identifies which production processes contribute most to power quality issues, particularly due to non-linear loads like switch-mode power supplies. The methodology includes power quality measurements and statistical analysis with dedicated software.Item 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 LimaThis 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.