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URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/5

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Assunto: search.filters.subject.Display Testing

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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) 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.
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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.