IEEE Latin America Transactions最新文献

{"title":"Convolutional Neural Networks using the SMOTE Algorithm and Features Fusion for Wind Turbine Fault Prediction","authors":"Lucas França Aires;Júlio Oliveira Schmidt;Guilherme Ricardo Hübner;Frederico Menine Schaf;Claiton Moro Franchi;Humberto Pinheiro;Daniel Fernando Tello Gamarra","doi":"10.1109/TLA.2025.10879178","DOIUrl":"https://doi.org/10.1109/TLA.2025.10879178","url":null,"abstract":"This research introduces an innovative method using Convolutional Neural Networks (CNNs) to identify mass imbalances in wind turbine rotors through a feature fusion strategy. To address the issue of class imbalance, the Synthetic Minority Oversampling Technique (SMOTE) is applied. A detailed simulation was carried out using a 1.5 MW three-bladed Wind Turbine model, employing tools such as Turbsim, FAST, and Matlab Simulink, to collect rotor speed data under different wind conditions. Mass imbalances were simulated by modifying blade density in the software. The fusion architecture combines feature extraction with Power Spectral Density analysis, improving the CNNs ability to work across both frequency and time domains. The effectiveness of this approach was confirmed through a comparative analysis with 9 classifiers and 4 different dataset combinations, demonstrating its capability in detecting mass imbalances.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 3","pages":"191-197"},"PeriodicalIF":1.3,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10879178","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A comparative study between deep learning approaches for aphid classification","authors":"Brenda Slongo Taca;Douglas Lau;Rafael Rieder","doi":"10.1109/TLA.2025.10879193","DOIUrl":"https://doi.org/10.1109/TLA.2025.10879193","url":null,"abstract":"This study presents a performance comparison between two convolutional neural networks in the task of detecting aphids in digital images: AphidCV, customized for counting, classifying, and measuring aphids, and YOLOv8, state-of-the-art in real-time object detection. Our work considered 48,000 images for training for six different insect species (8,000 images divided into four classes), in addition to data augmentation techniques. For comparative purposes, we considered evaluation metrics available to both architectures (Accuracy, Precision, Recall, and F1-Score) and additional metrics (ROC Curve and PR AUC for AphidCV; mAP50 and mAP50-95 for YOLOv8). The results revealed an average F1-Score=0.891 for the AphidCV architecture, version 3.0, and an average F1-Score=0.882 for the YOLOv8, medium version, demonstrating the effectiveness of both architectures for training aphid detection models. Overall, AphidCV performed slightly better for the majority of metrics and species in the study, serving its design purpose very well. YOLOv8 proved to be faster to converge the models, with the potential to apply in research considering many aphid species.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 3","pages":"198-204"},"PeriodicalIF":1.3,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10879193","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hybrid Attack Optimization Supported Enhanced Deep Learning to Facilitate Power System Event Detection using PMU Data","authors":"Saba Kausar M Shaikh;Manjunath Kallamadi","doi":"10.1109/TLA.2025.10879175","DOIUrl":"https://doi.org/10.1109/TLA.2025.10879175","url":null,"abstract":"Accurate event detection is crucial for initiating control and protection measures in power systems to ensure enhanced and reliable operation. Phasor measurement units (PMUs) play a vital role in various functional aspects of power systems, including state estimation and intelligent protection algorithms. However, the authenticity of real-time data from PMUs must be verified before feeding it into applicable real-time algorithms to prevent undesirable or erroneous operations. This paper aims to present an efficient preprocessing methodology for identifying unwanted, incorrect, missing, or noisy PMU data to facilitate robust event detection algorithms. The proposed methodology leverages real-time data-driven deep learning techniques for authenticating incoming data. Given the high sampling rate of PMUs, the presence of extraneous data can lead to false event detection, necessitating reliable data preprocessing. Challenges identified in existing literature, such as the limitations of Steady State (SS)-Local Outlier Factor (LOF) in event detection and classification, issues with detecting line tripping and inter-area oscillations, computational and bandwidth requirements for micro-PMU installations, and false alarms resulting from inaccuracies in frequency ramp rate determination, are addressed. To overcome these challenges, this research proposes a deep learning approach that utilizes modified Deep Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) classifiers to classify and extract features from PMU data, enabling highly efficient detection of disturbances in transmission lines. Additionally, a hybrid attack optimization (HAO) technique is employed to enhance convergence rates, accuracy, and efficiency. Performance evaluation of the proposed system is conducted by calculating and assessing disturbances generated by power lines using metrics such as accuracy, precision, recall, System Average Interruption Duration Index (SAIDI), and System Average Interruption Frequency Index (SAIFI).","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 3","pages":"223-231"},"PeriodicalIF":1.3,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10879175","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Systematic Review of Radio Wave Techniques for Indoor Positioning Systems","authors":"Emily Juliana Costa e Silva;Kaio Yukio Goncalves Vieira Guedes;Pedro Augusto Araújo da Silva de Almeida Nava Alves;Paulo Rogério de Almeida Ribeiro;Alex Oliveira Barradas Filho","doi":"10.1109/TLA.2025.10879196","DOIUrl":"https://doi.org/10.1109/TLA.2025.10879196","url":null,"abstract":"Indoor human positioning has become crucial for applications such as health monitoring, security surveillance, human pose identification and rescue operations. However, achieving reliable indoor human positioning is challenging due to numerous constraints.This paper aims to compare and analyze radio waves techniques and approaches for indoor positioning,providing a comprehensive review for human detection, positioning and activity recognition. A systematic review of the scientific literature and datasets was conducted. Four digital libraries, ACM Library Digital, IEEE Xplore, ScienceDirect and Spring Link were searched to identify results that met the selection criteria. A data extraction process was performed on the selected articles and datasets. The Parsifal platform was utilized to extract relevant information. After completing the systematic review, It was identified 26 eligible articles and extracted 11 methods for radio wave detection. The overview of indoor positioning system with radio waves was introduced. The most frequently mentioned tools in the articles for the capture stage were Radar Sensors, Wireless Sensor, and Antennas. For the processing stage, DNN Techniques, Processing Algorithms followed by Filtering, Fingerprint, Trilateration, and other machine learning algorithms formed the majority.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 3","pages":"205-215"},"PeriodicalIF":1.3,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10879196","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Innovative approach for the analysis of electromagnetic transients generated by the integration of distributed energy resources in power systems","authors":"Jhonn Carlos Castro Giraldo;Jacobo Ceballos Vivanco;Julián David Nieto Llanos;Eduardo Gómez Luna","doi":"10.1109/TLA.2025.10879192","DOIUrl":"https://doi.org/10.1109/TLA.2025.10879192","url":null,"abstract":"This article presents a set of methods for the extraction of features from transient events in power systems, using EMT (Electromagnetic Transients) simulations. The main approach is based on the application of the wavelet transform to transient signals, allowing for the analysis and characterization of various types of transient events. Based on the information obtained from the wavelet transform, specific methods such as impedance analysis, energy, peaks, and selectivity indices are developed and applied. These methods provide useful tools for the identification and classification of transient events, constituting a basis for the characterization of various types of disturbances in power systems. The techniques developed enabled the extraction of unique and distinguishing features of photovoltaic resources, which can later be applied to non-intrusive monitoring of these systems.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 3","pages":"232-238"},"PeriodicalIF":1.3,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10879192","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Alternative Design of a Compact and Portable Six-Port Reflectometer for 2.4 GHz Reflection Coefficient Measurements","authors":"Gerardo Hernandez Veliz;Felipe Alejandro Uribe Campos;Carlos Alberto Bonilla Barragán","doi":"10.1109/TLA.2025.10879194","DOIUrl":"https://doi.org/10.1109/TLA.2025.10879194","url":null,"abstract":"In this article, the design and implementation of a compact and portable six-port reflectometer for measuring the reflection coefficient at 2.4 GHz is presented. The proposed design utilizes reduced-size components, such as an RF generator and an acquisition board, achieving a portable solution that can be used outside the RF laboratory. In this design, the six-port circuit consists of only two microstrip directional couplers with an angularly equidistant distribution of their q points. This configuration facilitates the implementation of the reflectometer, reducing complexity without sacrificing accuracy, even when compared to a commercial VNA. This design is an attractive and efficient alternative for research projects requiring the use of six-port reflectometry technique.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 3","pages":"251-257"},"PeriodicalIF":1.3,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10879194","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimal Integration of EV Charging Stations and Capacitors for Net Present Value Maximization in Distribution Network","authors":"B. Vinod Kumar;Aneesa Farhan M A","doi":"10.1109/TLA.2025.10879176","DOIUrl":"https://doi.org/10.1109/TLA.2025.10879176","url":null,"abstract":"The widespread adoption of electric vehicles (EVs) is crucial for reducing greenhouse gas emissions from traditional vehicles. Central to this adoption is the strategic deployment of electric vehicle charging stations (EVCS), whose improper positioning can pose challenges to electrical networks and utility operators. This paper introduces a novel hybrid approach for optimizing the placement of EVCS and capacitors (CAP) in the distribution network (DN) to mitigate active power loss (APL) and enhance operational efficiency. The methodology includes the optimal placement of CAP banks and EVCS across the network, which is evaluated using the Net Present Value (NPV) criterion. Additionally, the study comprehensively considers the integration of vehicle-to-grid (V2G) capabilities, enhancing network reliability. The proposed hybrid algorithm combines the genetic algorithm (GA) and particle swarm optimization (PSO), i.e., HGAPSO, which leverages their respective strengths in exploration and exploitation. A comprehensive sensitivity analysis is conducted for the IEEE 33, 69, 85, 118, and Brazil 136- bus systems, focusing on cost variables such as energy prices, maintenance costs, and system parameters. This analysis further validates the robustness of the proposed approach, demonstrating significant reductions in APL and maximization of net profit. Comparative results verify the superiority of the hybrid approach over conventional GA and PSO in optimizing the locations of charging stations and reactive power sources within networks.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 3","pages":"239-250"},"PeriodicalIF":1.3,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10879176","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Smart Grid Insulator Detection Network Improved based on YOLOv8","authors":"Tao wang;Nan Zhang;Wancai Zhang;Wenqing Yang;Wei Zhang","doi":"10.1109/TLA.2025.10851364","DOIUrl":"https://doi.org/10.1109/TLA.2025.10851364","url":null,"abstract":"Insulators are critical components of power transmission lines. Due to environmental changes, insulators may fail, making timely and effective detection of these failures a pressing issue. However, the detection of inclined insulators faces challenges, such as inadequate fitting of detection frames and excessive background noise within the target frames. To address this, this paper proposes an improved inclined insulator detection network (RCAS-YOLOv8). To resolve issues related to feature sparsity and effectiveness, a non-local module with row and column-level sharing is introduced by considering the correlations between feature points. Finally, the task of locating the four vertices of the insulator is completed by summing the predicted offsets of the target frames four vertices. Experimental results show that the proposed RCAS-YOLOv8 algorithm has achieved significant improvement in the detection of tilted targets in the Power Line Insulator Dataset (CPLID), with high detection accuracy, in which the APR index of our method reached 0.891.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 2","pages":"125-134"},"PeriodicalIF":1.3,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10851364","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards MEC-Servers Deployment for Multimedia Streaming over 5G CRAN-Architecture Networks","authors":"Carlo Kleber da Silva Rodrigues;Vladimir Rocha;Rodrigo A. C. da Silva","doi":"10.1109/TLA.2025.10851363","DOIUrl":"https://doi.org/10.1109/TLA.2025.10851363","url":null,"abstract":"This article evaluates MEC-servers deployment for multimedia on-demand streaming service over 5G cellular networks. The experiments are based on simulations within a CRAN architecture. Three performance metrics are assessed: operational download, piece delay, and channel utilization. Overall, the experiments reveal substantial effectiveness, enhancing QoS and QoE levels. Among the main findings, we highlight that: (i) for a storage capacity of only 5% of the content providers, MEC-servers deployment reduces data volume on the network by up to 85.7%, whereas (ii) for a storage capacity of 30%, all three metrics above reach their most optimized operating values, regardless of video popularity and network latencies. As its main contribution, this research thus provides valuable insights into the evolving landscape of streaming-service projects in 5G cellular networks equipped with MEC servers. At last, conclusions and future work conclude this article.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 2","pages":"87-93"},"PeriodicalIF":1.3,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10851363","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implementation of a Reliability-Centered Maintenance Plan for Fire-Tube Boilers: A Case Study in the Textile Industry","authors":"Erick Mejia-Portillo;Sofia Guevara-Barrera;Juan Aguilar-Rosa;Yakdiel Rodriguez-Gallo","doi":"10.1109/TLA.2025.10851396","DOIUrl":"https://doi.org/10.1109/TLA.2025.10851396","url":null,"abstract":"Reliability-Centered Maintenance (RCM) application in steam systems aims to prevent potential failures by understanding their causes and consequences and determining necessary actions to preserve physical assets. The textile company frequently experiences unplanned stoppages due to steam boiler failures. This study proposes implementing an RCM plan to optimize the maintenance program for fire-tube boilers. A criticality analysis of boiler area equipment was conducted using the Analytical Hierarchy Process (AHP). Failure modes and effects were assessed, and the Risk Weighting Number (RWN) was calculated. Maintenance tasks were assigned using the RCM diagram based on the RWN value. The reliability block diagram of the boiler system was designed, and optimal time intervals were determined using the Weibull distribution for critical components. The literature review found no prior studies applying RCM to fire-tube boilers in the textile industry. The proposed maintenance plan's reliability, availability, and economic viability were assessed in a case study, showing a 16.15% increase in reliability and a 0.004% increase in availability. Additionally, annual maintenance cost savings of up to 27.54% could be achieved. This novel RCM methodology optimizes fire-tube boiler maintenance plans, overcomes classical model limitations, and underscores the importance of reliability analysis for effective preventive maintenance, with potential applications to other systems in the textile industry.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 2","pages":"104-113"},"PeriodicalIF":1.3,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10851396","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}