Navegando por Autor "CASTRO, Anderson"

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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.
Optimización del proceso de montaje de componentes SMD usando algoritmo genético multiobjetivo en la industria
(INSTITUTO DE TECNOLOGIA, 2014) CIRINO, Weverson dos Santos; MUSTAFE, Nadime; REIS, Ana; CASTRO, Anderson; BEZERRA, Ubiratan Holanda; Professora Dra. Fernanda Souza do Nascimento
The article proposes the optimization of the assembly sequence of SMD components on printed circuit boards using a multi-objective genetic algorithm (NSGA-II). The study was conducted in an electronics industry at the Manaus Industrial Hub, showing that the proposed algorithm outperformed the traditional machine inserter optimizer, reducing assembly time by 6 seconds per board and increasing productivity by 30%. The results highlight the effectiveness of NSGA-II in solving complex industrial optimization problems.
Sistema de Controle de Temperatura Digital como Ferramenta para a Eficiência Energética na Indústria
(INSTITUTO DE TECNOLOGIA, 2014) CIRINO, Weverson dos Santos; MUSTAFE, Nadime; REIS, Ana; CASTRO, Anderson; TANAKA, Gerdson; TOSTES, Maria Emília; BEZERRA, Ubiratan Holanda; TOSTES, Maria Emília; BEZERRA, Ubiratan Holanda
The study presents the implementation of a digital temperature control system based on hysteresis to optimize energy efficiency in a plastic injection industry. The results demonstrate a significant reduction in energy consumption, with annual savings of approximately R$ 47,166.86, along with improvements in temperature stability, reduced maintenance costs, and extended equipment lifespan. The system proved economically viable, with a return on investment in 39 days.