PPG.EGPSA/ITEGAM

URI permanente desta comunidadehttps://rigalileo.itegam.org.br/handle/123456789/1

A comunidade dispõe da produção técnica e científica do Programa de Pós-graduação em Engenharia, Gestão de Processos, Sistema e Ambiental (PPG.EGPSA) do Instituto de Tecnologia e Educação Galileo da Amazônia (ITEGAM), fruto da atividade de pesquisa e desenvolvimento (P&D). É possível acessar os trabalhos de conclusão do programa de pós-graduação, artigos e livros vinculados a pesquisa, desenvolvimento, inovação e extensão.

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Resultados da Pesquisa

Agora exibindo 1 - 10 de 14
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    Estimativa da incerteza de medição nos ensaios de resistência elétrica de fios e cabos elétricos para tensões nominais de até 450/750V
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) CAVALCANTE, Henrique Augusto Mota; ALENCAR, David Barbosa de
    The national market for electrical wires and cables faces products of dubious quality, with electrical resistance exceeding normative limits, which may cause fires. This dissertation addresses the importance of ensuring the compliance of these products, focusing on the estimation of measurement uncertainty in electrical resistance tests for wires and cables with nominal voltages up to 450/750V. The "top-down" methodology was applied, using the Ishikawa Diagram, enabling the creation of a mathematical model to calculate combined standard uncertainty. Tests conducted on samples from factories and the market revealed non-conformities, emphasizing the need for improved inspection and measurement processes.
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    Smart Gateway 4.0: Prototipagem de dispositivo inteligente para controladoras de fator de potência como estratégia para avanço da maturidade digital através de IoT e Edge Computing em sistemas de gestão de energia
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) SERRÃO, Alacy da Conceição da Silva; LEITE, Jandecy Cabral
    The advancement of Industry 4.0 technologies and the demand for energy efficiency require innovative solutions in electric energy management. This dissertation develops the SMART GATEWAY 4.0, an intelligent gateway prototype for power factor controllers, using IoT and Edge Computing. The goal is to optimize the commissioning and management of these controllers and elevate the digital maturity level of industries according to the ACATECH Industry 4.0 Maturity Index. Communication was carried out using Modbus, HTTP, and REST API protocols. Results demonstrated that SMART GATEWAY 4.0 significantly improves energy management efficiency, fostering the digitalization and automation of energy-related industrial processes.
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    Estimativa da Incerteza de Medição nos Ensaios de Resistência Elétrica de Fios e Cabos Elétricos para Tensões Nominais de até 450/750V
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-10-22) CAVALCANTE, Henrique Augusto Mota; ALENCAR, David Barbosa de; BRITO JUNIOR, Jorge de Almeida
    The electrical wire and cable market faces challenges with low-quality products, including electrical resistances above normative limits, which can lead to risks such as fires. This study addresses the estimation of measurement uncertainty in electrical resistance tests for wires and cables with nominal voltages up to 450/750V, applying the "top-down" methodology and using the Ishikawa Diagram to identify uncertainty sources. Measurements were conducted on collected samples using calibrated equipment. The developed mathematical model proved effective in ensuring compliance and enhancing safety.
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    Fuzzy Logic-Based Compliance Assessment For Display Testing In Industrial Measurement Systems
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-10-01) SOUZA, Márcio André de Oliveira; NASCIMENTO, Manoel Henrique Reis; LEITE, Jandecy Cabral; BRITO JUNIOR, Jorge de Almeida; QUEIROZ JUNIOR, Fernando Cardoso de
    This study presents the development and implementation of a fuzzy logic-based system aimed at automating the compliance evaluation process for display testing in industrial measurement systems. The fuzzy inference system was programmed in Python, using linguistic variables and fuzzy rules to assess performance parameters like accuracy, response time, and error margins. Results showed that the system classified 93% of devices in accordance with established compliance standards, improving the reliability and efficiency of display testing in industrial environments.
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    Multi-Objective Optimization Techniques to Solve the Economic Emission Load Dispatch Problem Using Various Heuristic and Metaheuristic Algorithms
    (IntechOpen, 2018) NASCIMENTO, Manoel Henrique Reis; LEITE, Jandecy Cabral
    The chapter addresses the economic emission load dispatch problem, focusing on minimizing emission levels and total generation cost in thermal power plants. Various multi-objective optimization techniques, including heuristic and metaheuristic algorithms such as Simulated Annealing, Ant Lion, Dragonfly, NSGA II, and Differential Evolution, are analyzed. The chapter also compares the effectiveness of these approaches through a case study applied to a thermal generation plant.
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    Maintenance Management with Application of Computational Intelligence Generating a Decision Support System for the Load Dispatch in Power Plants
    (IntechOpen, 2019) LEITE, Jandecy Cabral; NASCIMENTO, Manoel Henrique Reis
    This chapter proposes the development of a computational tool to support load dispatch decisions based on the operational conditions of motors and generators in thermal power plants. The tool uses a fuzzy system to classify failure probabilities, based on indicators such as lubricating oil analysis, vibration analysis, and thermography of power generation equipment. The goal is not only to monitor the equipment's condition but also to take corrective actions to maintain service reliability and quality, considering the operating conditions of the equipment.
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    Different Deterministic Optimization Methods for Economic Load Dispatch, Switching Off Less Efficient Generators
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2023) NASCIMENTO, Manoel Henrique Reis; ALENCAR, David Barbosa de
    This chapter discusses different deterministic optimization methods applied to economic load dispatch, focusing on switching off less efficient generators. The study investigates the efficiency of methods such as linear programming, quadratic programming, and other mathematical approaches to reduce operational costs and improve energy efficiency in power generation systems. The research highlights how optimization can contribute to more cost-effective and environmentally friendly decision-making, proposing strategies to integrate these methodologies into power generation systems.
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    Sistemas embarcados para eficiência energética de ambientes climatizados
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2021-06-20) CASTRO, Hilton Barros de; LEITE, Jandecy Cabral
    This study presents the development and implementation of embedded systems for energy efficiency in air-conditioned environments. The proposal aims to create an automated system capable of controlling climate in environments using sensors and algorithms to adjust temperature efficiently, reducing electricity consumption. The research was conducted at a campus of the Federal Institute of Amazonas (IFAM) and involves the use of technologies such as Arduino and temperature and motion sensors, demonstrating the feasibility of intelligent systems in managing energy consumption in institutional environments.
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    Análise da eficiência energética e impactos ambientais com a nova tecnologia de ar condicionados inverter
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-09-20) Silva, Wellington José de Castro da; LEITE, Jandecy Cabral; http://lattes.cnpq.br/7279183940171317
    Air conditioning systems are known for their high energy consumption and the environmental impacts they can cause, especially with regard to greenhouse gas emissions. However, inverter air conditioning systems are a more advanced technology that can offer significant improvements in terms of energy efficiency and reduced environmental impacts. Inverter air conditioning systems use a variable speed compressor, which allows the unit to adjust the compressor speed to meet cooling or heating needs. This means that the compressor does not have to switch on and off continuously, which reduces energy consumption and increases system life. In addition, inverter air conditioning systems are designed to operate more quietly and produce less noise than conventional systems. In Brazil, where demand for air conditioning systems is high, the use of inverter air conditioning systems can have a significant impact on reducing energy consumption and greenhouse gas emissions. In addition, Brazilian authorities have implemented measures to encourage the adoption of energy efficient technologies, including energy efficiency labeling programs to help consumers identify the most efficient appliances. However, it is important to remember that the energy efficiency of an inverter air conditioning system depends on its proper installation and maintenance. It is necessary that the system be sized correctly for the space in which it will be installed and that a regular maintenance program be carried out to ensure that the system is operating efficiently. In summary, the use of inverter air conditioning systems in Brazil can offer significant benefits in terms of energy efficiency and reduced environmental impacts, especially when combined with government incentive measures and proper installation and maintenance practices. It is with these awards that this project will explore the need for technological changes in refrigeration systems, proving their efficiency both in terms of energy and the environment.
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    Análise da eficiência energética e impactos ambientais com a nova tecnologia de ar condicionados inverter
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-09-20) Silva, Wellington José de Castro da; LEITE, Jandecy Cabral; http://lattes.cnpq.br/7279183940171317
    Air conditioning systems are known for their high energy consumption and the environmental impacts they can cause, especially with regard to greenhouse gas emissions. However, inverter air conditioning systems are a more advanced technology that can offer significant improvements in terms of energy efficiency and reduced environmental impacts. Inverter air conditioning systems use a variable speed compressor, which allows the unit to adjust the compressor speed to meet cooling or heating needs. This means that the compressor does not have to switch on and off continuously, which reduces energy consumption and increases system life. In addition, inverter air conditioning systems are designed to operate more quietly and produce less noise than conventional systems. In Brazil, where demand for air conditioning systems is high, the use of inverter air conditioning systems can have a significant impact on reducing energy consumption and greenhouse gas emissions. In addition, Brazilian authorities have implemented measures to encourage the adoption of energy efficient technologies, including energy efficiency labeling programs to help consumers identify the most efficient appliances. However, it is important to remember that the energy efficiency of an inverter air conditioning system depends on its proper installation and maintenance. It is necessary that the system be sized correctly for the space in which it will be installed and that a regular maintenance program be carried out to ensure that the system is operating efficiently. In summary, the use of inverter air conditioning systems in Brazil can offer significant benefits in terms of energy efficiency and reduced environmental impacts, especially when combined with government incentive measures and proper installation and maintenance practices. It is with these awards that this project will explore the need for technological changes in refrigeration systems, proving their efficiency both in terms of energy and the environment.