Artigos
URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/5
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20 resultados
Resultados da Pesquisa
Item Development of Intelligent Devices for Communication and Data Pre-Processing in the Process of Electronic Meter Testing(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022) RAMOS JUNIOR, Juarez da Silva; LEITE, Jandecy Cabral; GOMES, Marivan Silva; PAULA, Railma Lima de; CARVALHO, Michael da Silva; SILVA, Ítalo Rodrigo Soares; SIQUEIRA JUNIOR, Paulo Oliveira; PARENTE, Ricardo Silva; MIRANDA, Luís Gabryel dos Santos; LEITE, Jandecy CabralThis study investigates the development of intelligent devices for communication and data pre-processing in electronic meter testing. The research addresses the lack of efficient communication between electronic devices and the need for information synchronization to support decision-making in Industry 4.0. The article presents the development of a Lean Manufacturing Intelligent System, integrating API and machine learning algorithms for demand forecasting and process optimization. The results include embedded firmware for data collection, forecasting algorithms, and an interactive dashboard for production monitoring. The proposed solution aims to reduce costs and improve product quality.Item Desenvolvimento de um Dispositivo Inteligente de Monitoramento de Energia Elétrica Integrado à Plataforma SGE com Aplicação da Lógica Fuzzy para Tomada de Decisão na Gestão Energética da Indústria 4.0(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SANTOS JUNIOR, Hélio Andrade dos; ALENCAR, David Barbosa de; SANTOS, Eliton Smith dos; CAMPOS, Paola Souto; MORAES, Nadime Mustafa; SANCHES, Antônio Estanislau; LEITE, Jandecy CabralEfficient management of electrical energy in industrial environments is a crucial challenge, exacerbated by the continuous increase in consumption and frequent inefficiencies in resource utilization. In this context, Industry 4.0 and Smart Grids emerge as promising approaches, integrating advanced digital technologies to optimize energy production, distribution, and consumption. This study developed and validated a portable electrical energy monitoring device integrated into the SGE platform, applying fuzzy logic to support real-time decision-making. The device demonstrated the ability to conduct detailed analyses of energy consumption and efficiency, enhancing the accuracy in detecting losses and critical inefficiency points.Item Aplicação de Controle Fuzzy em Microgrids Solares como Auxílio na Mitigação de Interrupções em Comunidades Isoladas no Amazonas à Portaria Nº 140/2022(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SILVA NETO, Oswaldo Wanderley da; ALENCAR, David Barbosa de; SANTOS, Eliton Smith dos; BRITO JÚNIOR, Jorge de Almeida; SANCHES, Antonio Estanislau; LEITE, Jandecy CabralIsolated communities in the Amazon face significant challenges in accessing reliable energy due to logistical difficulties and lack of infrastructure. Photovoltaic microgrids emerge as a viable alternative but suffer from instability and frequent interruptions caused by environmental variability. This study investigates the implementation of fuzzy control in these systems to mitigate supply failures and improve operational efficiency, in compliance with INMETRO's Portaria No. 140/2022. The results show that fuzzy control is a promising solution to enhance the reliability and sustainability of energy in isolated communities.Item Arquitetura computacional para controle de monitoramento de qualidade de energia utilizando ferramentas de inteligência artificial focado na Indústria 4.0 com integração de energias renováveis(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) KAMIO, Edson; GUIMARÃES, Gil Eduardo; LEITE, Jandecy Cabral; ALMEIDA, Anderson Alexandre Silva de; MONTEIRO, Odilon Bentes; RIBEIRO, Paulo Francisco da Silva; NASCIMENTO FILHO, Alarico Gonçalves do; LEITE, Jandecy CabralThe quality of electrical energy (QEE) is crucial to the efficiency of industrial systems, especially in Industry 4.0. This research proposes a computer architecture for QEE control and monitoring, integrating renewable sources and artificial intelligence (AI). The proposal uses AI for predictive monitoring and dynamic control of capacitor banks and harmonic filters, mitigating issues such as inadequate power factor and high total harmonic distortion. Additionally, the system strategically integrates solar energy to maximize cost savings and sustainability in the industrial environment. An innovative software solution, utilizing the IMS Smart Cap 485 device via the Modbus-RTU protocol, collects and analyzes electrical data, processing it with deep learning (LSTM) and optimization (GA) algorithms. Interactive dashboards developed in Python provide detailed visualizations to predict problems and make strategic decisions, optimizing energy efficiency and reducing dependence on conventional sources.Item Reducing failures in electronic boards of CNC machines: EMI filter implementation for operational performance improvement(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SANTOS, James Silva dos; BRITO JUNIOR, Jorge de Almeida; LEITE, Jandeey Cabral; ALENCAR, David Barbosa de; NASCIMENTO, Manoel Henrique Reis; QUEIROZ JUNIOR, Fernando Cardoso de; LEITE, Jandecy CabralThis study addresses performance improvement in Okuma CNC machines, focusing on reducing failures in electronic boards caused by electromagnetic interference (EMI) in the manufacturing environment of Musashi da Amazônia Ltda. The research is justified by the impact of these failures on the company's productive efficiency and maintenance costs. The primary objective was to identify the causes of frequent board failures and implement an effective intervention to mitigate the issue. The methodology included analyzing historical failure data and identifying EMI sources, leading to the installation of specific EMI filters. This solution significantly reduced failures, lowered maintenance costs, and improved the operational stability of the CNC machines. The study highlights the importance of managing power quality and offers a reference for industries facing similar challenges.Item Fuzzy System for Fault Detection in Electric Motors for Aluminum Casting(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) SILVA, Lenildo Marcos da Mota; BRITO JUNIOR, Jorge de Almeida; LEITE, Jandecy Cabral; ALENCAR, David Barbosa de; NASCIMENTO, Manoel Henrique Reis; QUEIROZ JÚNIOR, Fernando Cardoso de; LEITE, Jandecy CabralThis study presents the development of a fuzzy logic-based system for predictive fault detection in electric motors used in aluminum casting processes. The addressed problem concerns the need to optimize predictive maintenance in a competitive industrial environment, minimizing unexpected downtimes and costs associated with corrective maintenance. The main objective was to create a fuzzy algorithm for real-time monitoring of critical variables such as temperature, pressure, and electric current. The methodology involved simulations of operational scenarios validated through experimental tests in a controlled environment. Results indicate that the proposed fuzzy system accurately identifies anomalies and issues preventive alerts, contributing to extending motor lifespan and improving operational efficiency. It is concluded that the developed solution can be integrated into industrial supervisory systems, enhancing reliability and productivity.Item Monitoring and management of electrostatic wristbands using dashboard(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) DIAS, Wellison; ALENCAR, David Barbosa de; SILVA, Ítalo Rodrigo Soares; LEITE, Jandecy CabralThe article presents a monitoring and management system for electrostatic wristbands using a dashboard. The research focuses on implementing a solution for real-time tracking of the integrity of wristbands used in industrial environments sensitive to electrostatic discharges. The proposed system aims to optimize safety and device reliability by providing analytical data for predictive maintenance.Item Desenvolvimento de uma bancada automatizada de teste de medidores eletrônicos de energia elétrica com aplicação de inteligência artificial na aferição da calibração(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) OLIVEIRA, Gelcimar Ribeiro; MARINELLI FILHO, Nelson; GUIMARÃES, Gil Eduardo; LEITE, Jandeey Cabral; LEITE, Jandecy CabralThis article deals with the whole journey of research and development of an automated bench for the measurement of electronic electrical energy meters (Device) and was carried out from the scope of the projects of this class for industries that are under the jurisdiction of SUFRAMA, in the Industrial Pole of Manaus. The application of the concept of New Product Introduction (NPI) was key in this delivery. The developed system consists of three main functional and validated components: the RS485 communication network, the communication with the three-phase source, and the entire test circuit of the Device. The system is capable of inferring from comparisons about the possibilities of error in each test, making the decision of repetition or separation of the component, and all this in a fully traceable data management environment capable of fostering the learning of more complex patterns.Item Developing an AMR Prototype with Processing Offloading Using 5G Servers for Industry 4.0(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) COSTA, Gledyson Cidade da; RODRÍGUEZ, Carlos Manoel Taboada; LEITE, Jandecy Cabral; LEITE, Jandecy CabralThis article addresses the development of an Autonomous Mobile Robot (AMR) prototype with processing offloading using 5G servers, aiming at industrial automation in Industry 4.0. The proposed solution transfers complex computational tasks to external servers, leveraging the high speed and low latency of the 5G network. The system integrates technologies such as IoT, cyber-physical systems (CPS), edge computing, and artificial intelligence, improving the efficiency and flexibility of industrial processes. The results indicate that offloading via 5G significantly improves the performance of AMRs, reducing energy consumption and maintenance costs, while increasing the durability of components.Item 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; BRITO JÚNIOR, Jorge de Almeida; LEITE, Jandecy CabralThe national market for electrical wires and cables faces the presence of products of dubious quality, with irregularities such as electrical resistance exceeding normative limits, which can lead to 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 to identify sources of uncertainty, allowing for the creation of a mathematical model to calculate the combined standard uncertainty. Tests were conducted on samples collected from factories and the market, using properly calibrated equipment such as a digital micro-ohmmeter and thermohygrometer. The results revealed that several samples did not meet the normative limits, highlighting the need to improve inspection and compliance testing. The developed mathematical model proved effective in estimating measurement uncertainty, contributing to the reliability of results and consumer safety. This study emphasizes the importance of estimating measurement uncertainty as an essential tool for improving inspection processes and ensuring that products meet safety and quality standards.