http://repositorio.ufc.br/handle/riufc/23642 Thu, 11 Jun 2026 08:27:00 GMT 2026-06-11T08:27:00Z http://repositorio.ufc.br/handle/riufc/86638 Título: Desenvolvimento de uma plataforma web para monitoramento de dispositivos elétricos de baixa potência Autor(es): Rocha, Ismael Lima Abstract: The increasing digitalization of electrical systems, driven by the convergence of Internetconnected devices and web-based visualization and data analysis tools, has expanded the demand for accessible remote monitoring solutions. In this context, this work aims to develop the SEMS platform, an abbreviation of Smart Equipment Monitoring System, conceived within the scope of this research as an Internet of Things solution for remote electrical current monitoring in low-power devices. The system architecture is structured in three layers: an embedded device, composed of an ESP32 microcontroller and a non-invasive current sensor SCT-013-100, responsible for signal acquisition and transmission to the server via WebSocket protocol; a backend server developed with the NestJS framework, under the principles of hexagonal architecture, which implements dual-path processing for real-time data propagation and persistence of records in a PostgreSQL database; and a reactive web application built with React and Vite, which provides the user with a dashboard for dynamic monitoring and real-time data visualization and historical time series queries. The platform incorporates automatic reconnection and data validation mechanisms across all communication interfaces. The results obtained demonstrate the technical feasibility of the proposed solution as an accessible tool for monitoring electrical quantities, with potential application in predictive maintenance and energy efficiency scenarios. Tipo: TCC Thu, 01 Jan 2026 00:00:00 GMT http://repositorio.ufc.br/handle/riufc/86638 2026-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/85005 Título: Aplicações de inteligência artificial na proteção de transformadores: revisão comparativa Autor(es): Mororó, Francisco Gabriel Farias Abstract: This work presents a comparative review between traditional power transformer protection methods and Artificial Intelligence (AI) based approaches. The main objective is to investigate how intelligent techniques can enhance reliability, selectivity, and response time levels of protection systems. The adopted methodology is exploratory and comparative, based on bibliographic research and technical analysis of recent studies applying Artificial Neural Networks (ANN), Deep Learning, and hybrid models. The analysis results indicate that traditional methods, although robust and standardized, present structural limitations regarding current transformer (CT) saturation and inrush currents with low harmonic content. In contrast, AI applications, especially convolutional neural network (CNN) architectures and models such as Long Short-Term Memory (LSTM), demonstrate superior performance, achieving detection times reduced to the 1 to 5 ms range and a significant reduction in false trip rates. It was observed that the use of autoencoders contributes significantly to system robustness in noisy and saturated environments. It is concluded that Artificial Intelligence acts as an essential complementary evolution for the safe operation of smart grids and modern high-complexity power systems. However, the feasibility of its large-scale implementation still depends on advances in methodological standardization, field validation, and the availability of real and representative databases. Tipo: TCC Thu, 01 Jan 2026 00:00:00 GMT http://repositorio.ufc.br/handle/riufc/85005 2026-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/85002 Título: Uma revisão sobre frenagem regenerativa em motores de indução trifásicos Autor(es): Lima, Robert Ramos de Abstract: The three-phase induction motor plays an extremely important role in industry and is the most widely used type of electric motor in this sector. In this context, several aspects can be explored, among which regenerative braking stands out. This Undergraduate Final Project presents an review of the application of regenerative braking in three-phase induction motors, focusing on its operating principles, technical limitations, and energy recovery potential. Furthermore, this work is based on an exploratory, descriptive, and qualitative bibliographic research, grounded on the analysis of books, scientific articles, and technical datasheets. No practical experiments or computational simulations were carried out; the study was conducted exclusively using secondary data available in the literature. In particular, data from previous studies involving induction motors operating in generator mode during braking were analyzed. The results indicate that although regenerative braking does not allow for the full recovery of the consumed energy, a significant portion can be recovered, reaching values of approximately 15% to 30%, depending on operating conditions, application type, and the frequency of braking cycles. Therefore, regenerative braking in three-phase induction motors constitutes a viable alternative for improving energy efficiency in industrial systems and electric transportation. However, its physical, operational, and control-related limitations must be carefully considered in the design and application of such systems, highlighting the need for future studies employing experimental approaches and more detailed analyses. Tipo: TCC Thu, 01 Jan 2026 00:00:00 GMT http://repositorio.ufc.br/handle/riufc/85002 2026-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/84997 Título: Aplicação de metodologia de dimensionamento de uma planta fotovoltaica flutuante no Açude Castanhão - Ceará Autor(es): Canuto, Jander Gomes Pontes Abstract: In a global context of searching for sustainable sources of electrical energy, photovoltaic (PV) generation emerges as one of the fastest growing sources in the world, being the second largest in terms of participation in the Brazilian electric energy matrix. The objective of this work is to apply a methodology for sizing a floating photovoltaic plant (FPV) at the Castanhão Dam, located in the state of Ceará. The methodology is divided into five stages, which are the gathering of historical data from the reservoir in question, the construction of the permanence curve for the flooded area of the reservoir, the choice of the reliability levels along with the verification of the limit conditions for determining the area of the FPV plant, the computation of the installed power capacity of the FPV plant and daily electricity production by using daily values of photovoltaic productivity. The reliability levels chosen were 90% and 70%. For each of those levels, two scenarios were adopted by using 440 Wp and 600 Wp modules. The higher the reliability, the smaller the available area considered for installation. The results show that the lowest possible power under these conditions is 5,144.26 MWp and the highest is 12,612.38 MWp. The respective values obtained for annual electricity production were 8,261.68 GWh and 20,255.49 GWh, demonstrating the high potential of Castanhão for PVF generation. In conclusion, the methodology is flexible, allowing different scenarios to be considered, and replicable in other reservoirs, as long as historical data is available. The implementation of PVF systems is a viable alternative for the semiarid environment, as it takes advantage of the availability of water reservoir areas. Tipo: TCC Thu, 01 Jan 2026 00:00:00 GMT http://repositorio.ufc.br/handle/riufc/84997 2026-01-01T00:00:00Z