Navegando por Autor "BRITO JUNIOR, Jorge de Almeida"

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Algoritmo para análise preliminar dos requisitos técnicos dos titulares de permissão para reparo e manutenção de instrumentos de medição regulados
(Instituto Nacional da Propriedade Industrial (INPI), 2024-06-28) MOREIRA, Jaildo Jackson do Amaral; NASCIMENTO, Manoel Henrique Reis; LEITE, Jandecy Cabral; BRITO JUNIOR, Jorge de Almeida
Document for the registration of computer software by the National Institute of Industrial Property (INPI), validating the software "Algorithm for preliminary analysis of the technical requirements of permit holders for repair and maintenance of regulated measuring instruments", developed in MATLAB, valid for 50 years.
Análise preliminar dos requisitos técnicos dos titulares de autorizações para reparo e manutenção de instrumentos de medição regulados: Aplicação de sistemas de inferência fuzzy
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-07-24) MOREIRA, Jaildo Jackson do Amaral; BRITO JUNIOR, Jorge de Almeida; http://lattes.cnpq.br/3423176906589920
Accurate measurement is essential in sectors such as industry, healthcare, and the environment. In Brazil, the National Institute of Metrology, Quality and Technology (INMETRO) regulates and inspects measuring instruments, requiring authorization holders for repair and maintenance to meet stringent technical requirements. This study applied fuzzy inference systems for the preliminary analysis of these requirements, developing a model capable of efficiently and accurately identifying and evaluating compliance. The method involved surveying technical requirements, defining linguistic variables, developing and testing the fuzzy system, and analyzing results. The system was implemented and tested in a controlled environment with different datasets, demonstrating high accuracy in identifying compliance in over 90% of cases. Additionally, it provided valuable insights into authorization holders' strengths and weaknesses, highlighting areas that may need improvement for continued compliance. The application of fuzzy inference systems proved to be a promising approach to improving compliance assessment processes, ensuring the quality and accuracy of measurements in Brazil, and renewing the perception of analyses in ordinances already implemented by INMETRO. This approach can also significantly contribute to decision-making by regulatory agencies, such as IPEM/AM, providing an additional tool to ensure compliance and reliability of measuring instruments used nationwide.
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.
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.
Melhoria de desempenho em equipamentos de manufatura: um estudo de caso sobre a redução de queimas de placas eletrônicas em máquinas Okuma
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) SANTOS, James Silva dos; BRITO JUNIOR, Jorge de Almeida
This study addresses the performance improvement of Computer Numerical Control Okuma machines at Musashi da Amazônia Ltda., focusing on reducing failures in electronic boards caused by electromagnetic interference in the manufacturing environment. The primary objective was to decrease the incidence of these failures, enhance operational efficiency, and reduce maintenance costs. The methodology involved analyzing historical data, identifying interference sources, and installing electromagnetic interference filters. As a result, the filters significantly reduced failures, ensuring greater operational stability and lower costs. This work highlights the importance of power quality management for industrial efficiency.
MODELO DE REDE NEURAL PARA PREVISÃO DE DESEMPENHO MECÂNICO DE MATERIAIS ESTRUTURAIS E POLIMÉRICOS
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) BRITO JUNIOR, Jorge de Almeida; LEITE, Jandecy Cabral
This document certifies the registration of the software entitled "Neural Network Model for Predicting Mechanical Performance of Structural and Polymeric Materials." The program, developed in Python, employs deep learning techniques to predict mechanical properties of structural and polymeric materials. The application contributes to advancements in material studies, optimizing industrial processes and scientific research.
Proposta de um algoritmo de detecção de falhas com lógica fuzzy para otimização de motores elétricos em processos de fundição de alumínio
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) SILVA, Lenildo Marcos da Mota; BRITO JUNIOR, Jorge de Almeida
This study proposes the development of a fault detection system based on fuzzy logic to optimize electric motors in aluminum casting processes. The theme is grounded in the need to enhance efficiency and operational continuity in the casting industry, minimizing unplanned downtime and maintenance costs. The primary objective is to create a fuzzy control model that enables real-time monitoring of critical variables, such as temperature, pressure, and electric current, to facilitate predictive fault detection. Methodologically, operational scenario simulations were conducted to evaluate the model’s performance under adverse conditions, including overload and overheating, with validation through experimental testing. Results indicate that the proposed fuzzy system accurately identifies anomalies and issues preventive alerts, extending motor lifespan and reducing downtime. It is concluded that the model can be integrated with supervisory systems like SCADA, enhancing predictive maintenance and operational efficiency. This technological solution shows promise for the aluminum casting industry and potential applications in other industrial sectors.
Sistema de inferência fuzzy para avaliação da conformidade do ensaio de mostradores de energia, baseado em normas
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) SOUZA, Márcio André de Oliveira; BRITO JUNIOR, Jorge de Almeida
This dissertation develops a fuzzy inference system to evaluate the compliance of energy meter displays according to the criteria of Portaria 221, May 23, 2022. Using fuzzy logic, the system analyzes variables such as Digit Segment Quality (QSD), sharpness, and functionality, providing a more precise and adaptable evaluation. The model proposes improvements in cost, speed, and scalability by automating the analysis and reducing human errors, standing out as an effective tool for quality control in industrial environments.
Sistema de Inspeção de Solda a Laser - Módulo 5C
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) BRITO JUNIOR, Jorge de Almeida; LEITE, Jandecy Cabral
This document certifies the registration of the software Laser Welding Inspection System - Module 5C, developed in the C programming language. The system is designed for automated laser welding inspection, providing greater precision and efficiency in quality control processes. The software was registered with the National Institute of Industrial Property (INPI) under the number BR512025000364-1, valid for 50 years from January 1st following the date of 12/17/2024.
Sistema Fuzzy para Avaliação Inclusiva e Sustentável (SFAIS)
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) BRITO JUNIOR, Jorge de Almeida; LEITE, Jandecy Cabral
This document certifies the registration of the software Fuzzy System for Inclusive and Sustainable Evaluation (SFAIS), developed in the Python programming language. The system applies fuzzy logic to evaluate inclusion and sustainability parameters in different contexts, enabling more precise and adaptable analysis. The software was registered with the National Institute of Industrial Property (INPI) under number BR512025000363-3, valid for 50 years from January 1st following the date of 12/18/2024.