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.

Navegar

Filtros

2019 - 201912020 - 20243

Configurações

Tem arquivos: SimAssunto: search.filters.subject.Fuzzy Logic

Resultados da Pesquisa

Agora exibindo 1 - 4 de 4
  • Imagem de Miniatura
    Item
    Implementation of Design Improvement in a LCD Monitor Product Through the Application of Fuzzy Logic and Quality
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2022) SOUZA DA SILVA, Ronildo LEITE, Jandecy Cabral SOARES SILVA, Ítalo Rodrigo; LEITE, Jandecy Cabral
    Companies worldwide aim to launch new products annually. During this process, design failures are identified. This study analyzes the implementation of a new LCD monitor, where its design negatively impacted mass production due to adhesive infiltration in the joystick actuation mechanism. The applied methodology included quality tools (PDCA, Ishikawa, Kaizen) and Fuzzy logic. As a result, the defect rate decreased from 20% to 3%, costs with spare parts and repairs were reduced, and quality and productivity indicators improved.
  • Imagem de Miniatura
    Item
    Fuzzy Logic-Based Compliance Assessment for Display Testing in Industrial Measurement Systems
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) SOUZA, Márcio André de Oliveira; BRITO JÚNIOR, Jorge de Almeida; LEITE, Jandecy Cabral; NASCIMENTO, Manoel Henrique Reis; QUEIROZ JÚNIOR, Fernando Cardoso de; LEITE, Jandecy Cabral
    The conformity assessment of display testing in industrial measurement systems plays a critical role in ensuring the accuracy and reliability of devices. Traditional conformity assessment methods rely heavily on manual processes, which can be error-prone and inconsistent. This study proposes a fuzzy logic-based system to automate compliance evaluation in display testing, using linguistic variables and fuzzy rules to analyze critical parameters such as accuracy, response time, and allowable error margins. The results indicate that the system correctly classifies 93% of the devices according to established standards, reducing human errors and improving the efficiency of the evaluation process.
  • Imagem de Miniatura
    Item
    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.
  • Imagem de Miniatura
    Item
    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.