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URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/219

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    Harmonic Impact analysis coming from the manufacturing processes of a Eletroeletrônica Industry Using KDD and Decision Trees
    (INSTITUTO DE TECNOLOGIA, 2015) NOGUEIRA, Rildo de Mendonça; OLIVEIRA, Edson Farias de; SILVA, Waterloo Ferreira da; SANTANA, Ádamo L.; TOSTES, Maria Emília de Lima; SOARES, Thiago Mota; Profa. Dra. Maria Adrina Paixão de Souza da Silva.
    The study analyzes the impact of harmonic distortions generated by non-linear loads (computers, notebooks, and tablets) on the electrical grid of an electronics industry in Manaus. Using the KDD (Knowledge Discovery in Databases) methodology and decision trees, data were collected over a week at different points in the production process. The results identified that the 5th and 7th order harmonics, originating from the tablet production line, contributed the most to the total harmonic distortion of voltage (THDv) at the common coupling point (PCC). The decision tree technique proved effective in classifying and prioritizing distortion sources, aiding in decision-making for impact mitigation.
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    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 Junior
    This 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.