Luis Esteban Venghi;Facundo Aguilera;Pablo de la Barrera;Cristian De Angelo
{"title":"Single and Multiple Open-Switch Fault Diagnosis in Electric Drives via Zero-Current Interval Analysis","authors":"Luis Esteban Venghi;Facundo Aguilera;Pablo de la Barrera;Cristian De Angelo","doi":"10.1109/TLA.2026.11421261","DOIUrl":"https://doi.org/10.1109/TLA.2026.11421261","url":null,"abstract":"In this work, a new and simple method for open-switch fault diagnosis in electric drives based on zero-current detection is proposed. The approach requires only two phase current sensors, with the measured currents being normalized and separated into positive and negative half-cycles. A variable-sample-time moving average is introduced for post-processing the signals. Zero-current interval detection is employed to diagnose both single and multiple open-switch faults. The proposed method was experimentally validated under various fault conditions, including single-switch, crossed-switch, full-leg, and two upper- or lower-switch open-circuit faults. Experimental results demonstrate that, despite its simplicity and ease of implementation, the method reliably detects all single and double open-switch fault scenarios in less than one electrical cycle, across different motor operating conditions.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 3","pages":"216-226"},"PeriodicalIF":1.3,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11421261","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147352567","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}
Jotirmoy Samanta;Ralli Sangno;Rajen Pudur;Yatindra Gopal;Julio C. Rosas-Caro
{"title":"Hybrid MDSOGIROGI Control Strategy for Mitigating Harmonics and Unbalance in SEIG Based Standalone Systems","authors":"Jotirmoy Samanta;Ralli Sangno;Rajen Pudur;Yatindra Gopal;Julio C. Rosas-Caro","doi":"10.1109/TLA.2026.11421256","DOIUrl":"https://doi.org/10.1109/TLA.2026.11421256","url":null,"abstract":"The self-excited induction generator (SEIG) is a promising machine for standalone, off-grid systems. However, this machine experiences multiple power quality issues (PQIs) when subjected to varying loads, particularly degradation in terminal voltage and frequency as the load increases. This paper presents a PQI mitigation technique using a shunt active power filter (SAPF) to regulate the terminal voltage of the SEIG and reduce the total harmonic distortion (THD) of the system, while maintaining power factor (PF) close to unity. A modified dual second-order generalised integrator (MDSOGI) is combined with a reduced-order generalised integrator (ROGI) to generate the reference current for controlling the SAPF. The terminal voltage of SEIG is regulated under dynamic load changes. Total harmonics distortion (THD) is reduced below 5% according to the IEEE 519-2022 standard. Furthermore, under an unbalanced load condition, the system becomes balanced after compensation with the SAPF. The experiment is conducted on a real-time platform using Opal-RT (OP4510), and the results of dynamic load changes are presented.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 3","pages":"307-318"},"PeriodicalIF":1.3,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11421256","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147352559","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":"Mobile App for Tuberculosis Detection Using Deep Learning and NLP-Based Recommendations","authors":"Camily Bravo-Flores;Derik Aranda-Neira;Wilmer Rivas-Asanza;Bertha Mazon-Olivo","doi":"10.1109/TLA.2026.11421255","DOIUrl":"https://doi.org/10.1109/TLA.2026.11421255","url":null,"abstract":"Tuberculosis remains one of the leading causes of mortality from infectious diseases and conventional diagnostic methods are often limited by subjectivity. This study presents a mobile application for automated tuberculosis diagnosis, integrating a convolutional neural network (CNN) for chest X-ray classification with a natural language processing (NLP) module for clinical recommendations. Three CNN architectures were evaluated (DenseNet121, ResNet50, and MobileNetV2) using the CRISP-DM methodology, with a Kaggle dataset. DenseNet121 achieved the most balanced performance (Accuracy = 96.2%, Recall = 95.5%, F1-score = 96.2%), prioritizing the reduction of false positives and negatives. The model was integrated into a mobile application developed under the Extreme Programming methodology, employing a client-server architecture with RESTful APIs. The NLP component, based on the DeepSeek-R1 model through the OpenRouter platform, generated contextually relevant clinically responses. Validation with healthcare professionals showed that 91.7% would recommend it as a support tool for tuberculosis diagnosis, due to its diagnostic reliability, usability, and clinical recommendations. These findings confirm the clinical viability and practical utility of the application, positioning it as a valuable resource in healthcare contexts with limited specialist availability","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 3","pages":"227-238"},"PeriodicalIF":1.3,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11421255","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147352569","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}
Gabriel O. Flores-Aquino;Octavio Gutierrez-Frias;Juan Irving Vasquez
{"title":"Path Planning using a One-shot-sampling Skeleton Map","authors":"Gabriel O. Flores-Aquino;Octavio Gutierrez-Frias;Juan Irving Vasquez","doi":"10.1109/TLA.2026.11421258","DOIUrl":"https://doi.org/10.1109/TLA.2026.11421258","url":null,"abstract":"Path planning algorithms fundamentally aim to compute collision-free paths, with many works focusing on finding the optimal distance path. However, for several applications, a more suitable approach is to balance response time, path safety, and path length. In this context, a skeleton map is a useful tool in graph-based schemes, as it provides an intrinsic representation of the free workspace. However, standard skeletonization algorithms are computationally expensive, as they are primarly oriented towards image processing tasks. We propose an efficient path-planning methodology that finds safe paths within an acceptable processing time. This methodology leverages a Deep Denoising Autoencoder (DDAE) based on the U-Net architecture to compute a skeletonized version of the navigation map, which we refer to as SkelUnet. The SkelUnet network facilitates exploration of the entire workspace through one-shot sampling (OSS), as opposed to the iterative or probabilistic sampling used by previous algorithms. SkelUnet is trained and tested on a dataset consisting of 12,500 two-dimensional dungeon maps. The motion planning methodology is evaluated in a simulation environment with an Unmanned Aerial Vehicle (UAV) in 250 previously unseen maps and assessed using several navigation metrics to quantify the navigability of the computed paths. The results demonstrate that using SkelUnet to construct the roadmap offers significant advantages, such as connecting all regions of free workspace, providing safer paths, and reducing processing time. These characteristics make this method particularly suitable for mobile robots in structured environments.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 3","pages":"260-268"},"PeriodicalIF":1.3,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11421258","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147352531","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}
Jose Joskowicz;Fabricio Gonzalez;Ines Urrestarazú;Lucia Tafernaberry
{"title":"Assessment of Virtual Reality and Metaverse Applications in Higher Education","authors":"Jose Joskowicz;Fabricio Gonzalez;Ines Urrestarazú;Lucia Tafernaberry","doi":"10.1109/TLA.2026.11421168","DOIUrl":"https://doi.org/10.1109/TLA.2026.11421168","url":null,"abstract":"This paper examines the use and effectiveness of consumer-grade Virtual Reality (VR) technology in traditional university courses. At the School of Economics, Universidad de la Republica in Uruguay, students were divided into four groups: in-person, standard video conferencing, VR with avatars in a metaverse classroom, and remote participation in the metaverse. The study assessed various Quality of Experience (QoE) factors for students and professors, such as audiovisual quality, comfort, immersion, fatigue, and cognitive load. Findings reveal that VR promotes high student satisfaction, motivation, and interaction, reaching levels similar to in-person classes. However, issues like technical difficulties and discomfort with extended VR use were noted. The paper discusses the broader potential of VR for non-STEM higher education and offers recommendations for future implementation of immersive technologies.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 3","pages":"269-279"},"PeriodicalIF":1.3,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11421168","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147352557","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 Capacitor Coupled On-board Bi-directional Vehicle-to-Vehicle Charging System","authors":"Mounika Reddimalla;Srinivasan Pradabane","doi":"10.1109/TLA.2026.11421260","DOIUrl":"https://doi.org/10.1109/TLA.2026.11421260","url":null,"abstract":"In recent times, Vehicle-to-Vehicle (V2V) chargers have gained popularity to transfer the energy between two Electric Vehicles (EV). In this paper, a new direct V2V charger is proposed that uses a capacitor coupling and an on-board DC-DC converter in each EV to enable the energy transfer between them. Importantly, this charger differentiates itself from other V2V chargers by eliminating the requirement for motor winding and inverter circuit from an EV. The charger operation is verified through simulation studies (via MATLAB/Simulink) in three operating modes: Forward Boost, Reverse Buck and Forward Buck-Boost mode for EVs with battery voltage of 350 V and 450 V. The simulation studies are validated through the OPAL-RT Real-Time simulator. The proposed charger achieves an efficiency of 96.57 % in the forward boost mode, 96.56 % in the reverse buck mode, and 96.26 % in the forward buckboost mode of operation at a rated power level of 20 kW, while demonstrating a 25 % to 76 % reduction in component count compared to existing topologies. Further, a laboratory proof of concept is developed and tested with battery voltages of 12 V and 25.6 V in all modes of operation. Experimental results under static and dynamic discharge currents are presented.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 3","pages":"289-306"},"PeriodicalIF":1.3,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11421260","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147352488","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}
Silvina Biagiola;Christian Schmidt;Jose Luis Figueroa
{"title":"Constrained model-based control for robust operation of a solid oxide fuel cell","authors":"Silvina Biagiola;Christian Schmidt;Jose Luis Figueroa","doi":"10.1109/TLA.2026.11421257","DOIUrl":"https://doi.org/10.1109/TLA.2026.11421257","url":null,"abstract":"Over the years, the Solid Oxide Fuel Cell (SOFC) has grown in popularity due to its high efficiency and fuel flexibility, low maintenance requirements and environmentally friendly features. Its durability and performance can be substantially enhanced through the implementation of optimal control strategies. However, controlling the SOFC is challenging due to its nonlinear behavior and the need to manage its operational constraints simultaneously. To come up with an effective control algorithm for a SOFC, it is necessary to understand its dynamic behavior. In this work, a Wiener model is developed for control purpose. This mathematical representation enables the use of an identification algorithm to estimate unknown parameters. Furthermore, the control-oriented model uncertainty is characterized and incorporated as bounds on the model parameters. The resulting model is integrated into a Model Predictive Control (MPC) framework, designed for both regulation and optimization objectives. This control scheme ensures robust constraint satisfaction for the whole set of characterized uncertain models. The simulation results show the benefits of the proposed model-based controller both for SOFC operation and performance enhancement.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 3","pages":"319-326"},"PeriodicalIF":1.3,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11421257","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147352561","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":"Table of Contents March 2026","authors":"","doi":"10.1109/TLA.2026.11421254","DOIUrl":"https://doi.org/10.1109/TLA.2026.11421254","url":null,"abstract":"","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 3","pages":"215-215"},"PeriodicalIF":1.3,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11421254","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147352538","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":"TFITS: Time Series Imputation via Dual-Perspective Fusion of Temporal and Feature Views","authors":"Junfeng Yuan;Kangyan Li;Baofu Wu;Jian Wan;Jilin Zhang;Yuyu Yin;Yan Zeng","doi":"10.1109/TLA.2026.11421262","DOIUrl":"https://doi.org/10.1109/TLA.2026.11421262","url":null,"abstract":"In the field of multivariate time series analysis, data completeness plays a crucial role in ensuring the accuracy and reliability of downstream tasks. However, in practical applications, factors such as measurement errors and equipment failures often lead to partial missing values in the data. Therefore, this paper introduces a novel model, focusing on how to efficiently handle missing values in multivariate time series and mitigate the potential negative impact of data incompleteness on subsequent tasks. In previous studies, researchers often adopted a single-perspective approach, separately considering the influence of the temporal dimension and the feature dimension, thereby overlooking the potential of dual-perspective fusion. This paper proposes TFITS, an innovative method for predicting missing values in multivariate time series data. TFITS approaches the problem from both the temporal and feature perspectives of time series data, leveraging the UNetFuse module to fuse feature maps generated from these two perspectives, thereby providing a more comprehensive solution to the missing value problem. Through this approach, TFITS can more effectively address missing values in multivariate time series data. Experimental results demonstrate that the TFITS model not only achieves excellent imputation performance but also exhibits superior and stable performance under different missing rate conditions.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 3","pages":"249-259"},"PeriodicalIF":1.3,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11421262","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147351323","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":"CEEMDAN-based Single-Channel Blind Source Extraction for Bearing Fault Detection and Diagnosis","authors":"Yuan Xie;Zhangchi Wei;Jinshi Yu;Yifei Sun;Zhipeng Chen","doi":"10.1109/TLA.2026.11421259","DOIUrl":"https://doi.org/10.1109/TLA.2026.11421259","url":null,"abstract":"Bearings are key components for power transmission in industrial applications. However, how to accurately detect bearing status and perform fault diagnosis in intense background noise remains a challenging task. This paper presents a single-channel blind extraction algorithm for bearing fault detection and diagnosis. First, the vibration signal is decomposed into several intrinsic model functions (IMFs) and a residual. Using a kurtosis index technique to filter the decomposed IMF components, thereby building a multi-channel feature set and overcoming the problem of mode mixing. Then, a blind extraction technology is used to extract fault features from the virtual multi-channel mixed signals. Furthermore, the maximum energy amplitude at the fault feature frequency is obtained to identify fault features by using envelope spectrum analysis. Finally, determining the type of fault in the bearing through the magnitude of singular value entropy to achieve fault diagnosis. Experimental results based on the public bearing fault signal datasets verify the feasibility and superiority. It can make the pulse component in the measurement signal more prominent and suppress the noise component entirely, achieving a powerful de-noising ability. The signal-to-noise ratio has been increased by a maximum of53.35%, and the root mean square error has been decreased by a maximum of 10.86%","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 3","pages":"280-288"},"PeriodicalIF":1.3,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11421259","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147352548","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}