Larisa Dunai

Scopus Publications

Automatic Detection of Inter-Turn Short-Circuit in Dry-Type Transformers Through the Analysis of Leakage Flux Components
Daniel Cruz-Ramírez, Israel Zamudio-Ramírez, Larisa Dunai, Jose Alfonso Antonino-Daviu
Applied Sciences Switzerland, 2026
Dry-type electrical transformers are essential components in commercial, industrial, and residential power distribution systems, as they adapt voltage levels required by a broad range of load types. Although they are robustly constructed, they are exposed to adverse operational and environmental conditions such as dust, humidity, and electrical disturbances that may cause premature winding damage, such as inter-turn short circuits. This study focuses on the detection of inter-turn short-circuit faults in a 15 kVA commercial dry-type transformer, where a fault equivalent to 11.54% of short-circuited turns was induced in the tap changers. Axial, radial, and rotational leakage magnetic flux signals were captured using a low-cost, non-invasive triaxial Hall-effect magnetic flux sensor. During data processing, Fisher Score feature selection was applied to identify the most relevant indicators. Subsequently, feature extraction techniques, including Linear Discriminant Analysis, Principal Component Analysis (PCA), Uniform Manifold Approximation and Projection, and Isometric Mapping, were evaluated. The technique that best preserved global and local data structures was selected using Trustworthiness, Spearman’s correlation, and Kruskal’s stress metrics. PCA was selected as the optimal technique based on these quality metrics, achieving the highest classification performance. The resulting subspace data were classified using support vector machines and applying K-fold cross-validation. The proposed system achieved classification accuracies above 95%, with high recall and F1-score values, for inter-turn fault detection in each winding, confirming its effectiveness for reliable inter-turn fault detection in each transformer winding.
Development of a Modular Bionic Hand with Intuitive Control and Thumb Opposition
Larisa Dunai, Isabel Seguí Verdú, Alba Rey De Viñas Redondo, Lilia Sava
Prosthesis, 2026
Background/Objectives: Hand loss or severe impairment significantly reduces quality of life by restricting essential daily activities and professional tasks. Despite advances in prosthetics, challenges remain in affordability, accessibility, and usability. This study aimed to design and develop a low-cost, ergonomic bionic hand prototype that integrates sustainable fabrication, intuitive control, and modular electronics. Methods: A user-centred design process guided by iterative prototyping, anatomical modelling, and functional validation. The prototype was manufactured using 3D printing techniques and assembled with modular electronic components. The design included segmented fingers, independent thumb articulation, and a tendon-like actuation system driven by micro-motors. Control was implemented through an ESP32-based board and a Bluetooth-enabled mobile application. Durability was preliminarily assessed through 500 grasp–release cycles. Results: Experimental validation confirmed the feasibility of both precision and power grips. The pinch grip successfully lifted objects to 120 g, and the power grip up to 85 g, corresponding to effective output forces of approximately 1.2 N and 0.83 N, respectively. The final prototype weighed ~350 g and maintained reliable performance during 500 grasp–release cycles. Conclusions: The developed bionic hand demonstrates that an affordable, ergonomic, and functional prosthetic can be achieved through sustainable 3D printing and accessible electronics. Future work will focus on enhancing actuation strength, long-term durability, and integration of sensory feedback, with the long-term objective of clinical testing and scalable production.
Gamification in Digital Mental Health Interventions: A Systematic Review of the Engagement–Efficacy–Ethics Trilemma
Harold Ngabo-Woods, Larisa Dunai, Isabel Seguí Verdú, Valentina Tîrșu
Information Switzerland, 2026
Digital Mental Health Interventions (DMHIs) offer a scalable solution to the global mental health crisis, yet their real-world impact is often hampered by low user engagement. Gamification has been widely adopted as a strategy to enhance adherence, but its implementation creates a complex and often unacknowledged “Engagement–Efficacy–Ethics Trilemma”. This systematic review synthesises the current literature to deconstruct this trilemma, arguing that an uncritical focus on maximising engagement can fail to improve—or may even undermine—clinical efficacy, while simultaneously introducing significant ethical risks. Our analysis reveals a persistent “Engagement–Efficacy Gap”, where increased usage of mobile health applications (mHealth apps) does not consistently translate to better therapeutic outcomes. Furthermore, we map the ethical landscape, identifying potential harms such as manipulation, psychological distress, and privacy violations that arise from persuasive design. The roles of Artificial Intelligence (AI) in personalising these experiences and Human–Computer Interaction (HCI) in mediating user responses are critically examined as key factors that both amplify and potentially mitigate the tensions of the trilemma. The findings indicate a pressing need for a paradigm shift toward an integrated approach that concurrently evaluates engagement, efficacy, and ethical integrity. We conclude by proposing a framework for responsible innovation, emphasising theory-driven design, co-design with users, and prioritising intrinsic motivation to harness the potential of gamified DMHIs safely and effectively. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a systematic search was conducted across Scopus, Web of Science, MEDLINE, and PsycINFO for studies published between 2015 and 2025.
Vibration and Stray Flux Signal Fusion for Corrosion Damage Detection in Rolling Bearings Using Ensemble Learning Algorithms
José Pablo Pacheco-Guerrero, Israel Zamudio-Ramírez, Larisa Dunai, Jose Alfonso Antonino-Daviu
Sensors, 2026
Early fault diagnosis in induction motors is important to maintain correct operation in terms of energy and efficiency, as well as to achieve a reduction in costs associated with maintenance or unexpected stoppages in production processes. These motors are widely used in industry due to their reliability, low cost, and great robustness; however, over time, they may be exposed to wear that can affect their performance, endanger the integrity of operators, or cause unexpected shutdowns that generate economic losses. Corrosion in the bearings is one of the most common failures, which is mainly triggered by high humidity in combination with high temperatures. However, despite its relevance, it has not been widely explored as a cause of failure in induction motors. Unlike failures that occur in specific or localized areas, corrosion in bearings does not manifest through specific frequencies associated with the phenomenon, since the corrosion occurs extensively on the surface of the raceway, making early diagnosis difficult with conventional techniques based on spectral analysis. Therefore, this work proposes an approach for the analysis of magnetic stray flux and vibration signals under different levels of corrosion using statistical and non-statistical parameters to capture variations in the dynamic behavior of the motors while employing genetic algorithms to select the most relevant parameters for each signal and optimize the configuration of an ensemble learning algorithm. The classification of the bearing condition is achieved using support vector machines in combination with the bagging method, which increases the robustness and accuracy of the model in the presence of signal variability. A classification accuracy between the healthy state and two gradualities greater than 99% was obtained, indicating that the proposed approach is reliable and efficient for corrosion diagnosis.
Ergonomic Design Considerations for Next-Generation Smart Walkers: Enhancing Mobility and Safety Ergonomic Design Aspects of WalkIES Robotic Walker Development
Larisa Dunai, Isabel Seguí-Verdú, Liang Sui, Eva María Burguera Sierra
Lecture Notes in Mechanical Engineering, 2026
A Multimodal Framework for Prognostic Modelling of Mental Health Treatment and Recovery Trajectories
Harold Ngabo-Woods, Larisa Dunai, Isabel Seguí Verdú, Sui Liang
Applied Sciences Switzerland, 2026
The clinical management of major depressive disorder is constrained by a trial-and-error approach. The clinical management of major depressive disorder is constrained by a trial-and-error approach. While computational methods have focused on static binary classification (e.g., responder vs. non-responder), they ignore the dynamic nature of recovery. Building upon the recently proposed prognostic theory of treatment response, this article presents a methodological framework for its operationalisation. We define a multi-modal data architecture for the theory’s core constructs—the Patient State Vector (PSV), Therapeutic Impulse Function (TIF), and Predicted Recovery Trajectory (PRT)—transforming them from abstract concepts into specified computational inputs. To model the asynchronous interactions between these components, we specify a Time-Aware Long Short-Term Memory (LSTM) architecture, providing explicit mathematical formulations for time-decay gates to handle irregular clinical sampling. Furthermore, we outline a synthetic validation protocol to benchmark this dynamic approach against static baselines. By integrating these technical specifications with a translational pipeline for Explainable AI (XAI) and ethical governance, this paper provides the necessary blueprint to transition psychiatry from theoretical prognosis to empirical forecasting.
Design and Development of an Affordable, Ergonomic Bionic Hand for Improved Daily Functionality
Isabel Segui Verdú, Alba Rey De Viñas Redondo, Larisa Dunai, Luis Tarocher
Lecture Notes in Mechanical Engineering, 2026
A Prognostic Theory of Treatment Response for Major Depressive Disorder: A Dynamic Systems Framework for Forecasting Clinical Trajectories
Harold Ngabo-Woods, Larisa Dunai, Isabel Seguí Verdú
Applied Sciences Switzerland, 2025
The clinical management of major depressive disorder remains hampered by a trial-and-error approach to treatment selection, a challenge that current diagnostic and static predictive models have failed to address. While artificial intelligence (AI) applications have focused on classifying a patient’s present state, they lack the ability to forecast the trajectory of their future response. This study addresses this critical gap by proposing a new theoretical framework that conceptualises depression treatment response as a complex dynamic system. Drawing a powerful analogy from the engineering field of structural health monitoring and damage prognosis, which forecasts the remaining useful life of a system, we shift the paradigm from diagnosis to prognosis. We introduce three core constructs: the Patient State Vector (PSV), a multimodal baseline of a patient’s clinical, biological, and digital phenotype; the Therapeutic Impulse Function (TIF), a formal representation of a treatment’s properties; and the Predicted Recovery Trajectory (PRT), the forecasted path of symptom severity over time. The central thesis of the framework is that a patient’s PRT emerges from the dynamic interaction between their initial PSV and a given TIF. We present a series of testable propositions, such as how early fluctuations in PRT can classify patients into distinct “dynamic phenotypes” predictive of long-term outcomes. By integrating mechanisms across neurobiology, behaviour, and pharmacology within an SHM-inspired framework, this prognostic theory aims to provide a new systems-based paradigm for personalised psychiatry, moving beyond static prediction to a mechanistic understanding of recovery. This cross-disciplinary adaptation illustrates how SHM-derived principles of state assessment, load modelling, and prognosis can inform new frontiers in predictive health modelling.
TrailMap: Pheromone-Based Adaptive Peer Matching for Sustainable Online Support Communities
Harold Ngabo-Woods, Larisa Dunai, Isabel Seguí Verdú, Dinu Turcanu
Biomimetics, 2025
Online peer support platforms are vital, scalable resources for mental health, yet their effectiveness is frequently undermined by inefficient user matching, severe participation inequality, and subsequent “super-helper” burnout. This study introduces TrailMap, a novel peer-matching algorithm inspired by the decentralised foraging strategies of ant colonies. By treating user interactions as paths that gain or lose “pheromone” based on helpfulness ratings, the system enables the community to collectively and adaptively identify its most effective helpers. A two-phase validation study was conducted. First, an agent-based simulation demonstrated that TrailMap reduced the mean time to a helpful response by over 70% and improved workload equity compared to random routing. Second, a four-week randomised controlled pilot study with human participants confirmed these gains, showing a 76% reduction in median wait time and significantly higher perceived helpfulness ratings. The findings suggest that by balancing the workload, TrailMap enhances not only the efficiency but also the socio-technical sustainability of online support communities. TrailMap provides a practical, nature-inspired method for building more resilient and equitable online support communities, enhancing access to effective mental health support.
Real-Time Digital Twins for Intelligent Fault Diagnosis and Condition-Based Monitoring of Electrical Machines †
Shahin Hedayati Kia, Larisa Dunai, José Alfonso Antonino-Daviu, Hubert Razik
Energies, 2025
This article presents an overview of selected research focusing on digital real-time simulation (DRTS) in the context of digital twin (DT) realization with the primary aim of enabling the intelligent fault diagnosis (FD) and condition-based monitoring (CBM) of electrical machines. The concept of standalone DTs in conventional multiphysics digital offline simulations (DoSs) is widely utilized during the conceptualization and development phases of electrical machine manufacturing and processing, particularly for virtual testing under both standard and extreme operating conditions, as well as for aging assessments and lifecycle analysis. Recent advancements in data communication and information technologies, including virtual reality, cloud computing, parallel processing, machine learning, big data, and the Internet of Things (IoT), have facilitated the creation of real-time DTs based on physics-based (PHYB), circuit-oriented lumped-parameter (COLP), and data-driven approaches, as well as physics-informed machine learning (PIML), which is a combination of these models. These models are distinguished by their ability to enable real-time bidirectional data exchange with physical electrical machines. This article proposes a predictive-level framework with a particular emphasis on real-time multiphysics modeling to enhance the efficiency of the FD and CBM of electrical machines, which play a crucial role in various industrial applications.
Evaluating Robotic Walker Performance: Stability, Responsiveness, and Accuracy in User Movement Detection
Larisa Dunai, Isabel Seguí Verdú, Sui Liang, Ismael Lengua Lengua
Sensors, 2025
The Ergonomic Design of the Rollator Handles
Larisa Dunai, Isabel Seguí Verdú
Lecture Notes in Mechanical Engineering, 2025
Enabling Smartwatch Biometrics in Constrained Environments
Ana-Maria Mîrza, Dan-Ştefan Tudose, Larisa Dunai
Proceedings Roedunet IEEE International Conference, 2025
Energy-Efficient Environmental Monitoring System
Matei-Călin Ceausu, Dan-Ştefan Tudose, Larisa Dunai
Proceedings Roedunet IEEE International Conference, 2025
Design of a New Medicines Management System Aligned with Patients’ Requirements
Isabel Seguí Verdú, Emma Sánchez Calatayud, Luís Taroncher Pellicer, Larisa Dunai
Lecture Notes in Mechanical Engineering, 2025
Walkers Mechanical Key Characteristics
Sui Liang, Isabel Segui Verdú, Larisa Dunai, Daswin De Silva
IEEE International Symposium on Industrial Electronics, 2025
Artificial Neuronal Network for Surface EMG Signal Processing
Larisa Dunai, Isabel Seguí Verdú, Lilia Sava, Dinu Țurcanu
2025 IEEE International Black Sea Conference on Communications and Networking Blackseacom 2025, 2025
Design of a Robotic Hand Orthosis for Post-surgical Flexor Tendon Rehabilitation
Isabel Seguí Verdú, Larisa Dunai, Carmen García Espert, Helena Vanrell De Oleza
Lecture Notes in Mechanical Engineering, 2025
Prosthetic Hand Based on Human Hand Anatomy Controlled by Surface Electromyography and Artificial Neural Network
Larisa Dunai, Isabel Seguí Verdú, Dinu Turcanu, Viorel Bostan
Technologies, 2025
Corrosion Damage Detection in Induction Motor Bearings Using Ensemble Learning Algorithms and Data Fusion
José Pablo Pacheco-Guerrero, Israel Zamudio Ramirez, Jose Antonino Daviu, Larisa Dunai
Proceedings of the International Conference on Optimisation of Electrical and Electronic Equipment Optim, 2025
Smart Sensors in the Design of a Medication Management System: Enhancing Patient Autonomy
Isabel Seguí Verdú, Emma Sánchez Calatayud, Luís Taroncher Pellicer, Larisa Dunai
Proceedings of the International Conference on Optimisation of Electrical and Electronic Equipment Optim, 2025
Effect of Load Variations on Rotor Rotational-related Frequency amplitudes in Induction Motor Current Signals with Eccentricity Faults
Citlalli Zamudio-Ramirez, Isaias Cueva-Perez, Vicente Biot-Monterde, Larisa Dunai, Jose A. Antonino-Daviu
IECON Proceedings Industrial Electronics Conference, 2025
Load-Related and Eccentricity Fault Diagnosis in Induction Motors Using Decision Tree and Genetic Algorithms
Jonathan Cureño-Osornio, Israel Zamudio-Ramirez, Vicente Biot-Monterde, Larisa Dunai, Jose A. Antonino-Daviu
IEEE International Symposium on Industrial Electronics, 2025
Misalignment Diagnosis in Induction Motors by Analyzing the Stray Flux Magnitude Trajectory
Carlos A. Alvarez-Ugalde, Jonathan Cureño-Osornio, Israel Zamudio-Ramirez, Larisa Dunai, Jose A. Antonino-Daviu
Proceedings of the 15th International 2025 IEEE Symposium on Diagnostics for Electrical Machines Power Electronics and Drives Sdemped 2025, 2025
Advanced Laboratory Setups for Education on Electric Motors Commissioning
Jose A Antonino-Daviu, Jose E Ruiz Sarrió, Larisa Dunai, Israel Zamudio-Ramirez, Jose H. Ochoa-Medina
2025 IEEE 12th International Conference on E Learning in Industrial Electronics Icelie 2025, 2025
Towards interpretable failure detection in induction motors via stray magnetic flux and fuzzy inference
Luis Morales-Velazquez, Arturo Yosimar Jaen-Cuellar, Jonathan Cureño-Osornio, Larisa Dunai, Jose A. Antonino-Daviu
IECON Proceedings Industrial Electronics Conference, 2025
Stray Flux Signal Analysis for Bearing Fault Detection in Induction Motors: A Chaos-Based Approach
Gerardo Avalos-Almazan, G. Sarahi Aguayo-Tapia, Jose de Jesus Rangel-Magdaleno, Jose Antonino-Daviu, Jose E Ruiz-Sarrio, Larisa Dunai
Proceedings of the 15th International 2025 IEEE Symposium on Diagnostics for Electrical Machines Power Electronics and Drives Sdemped 2025, 2025
A Novel Visualization Methodology for Characterizing Magnetic Flux Sensors in Induction Motors: Discrimination Properties Insights
Luis Morales-Velazquez, Geovanni Díaz-Saldaña, Arturo Y. Jaen-Cuellar, Jose Enrique Ruiz-Sarrio, Larisa Dunai, Jose A. Antonino-Daviu
Proceedings of the 15th International 2025 IEEE Symposium on Diagnostics for Electrical Machines Power Electronics and Drives Sdemped 2025, 2025
Induction Motor Bearing Fault Diagnosis Using Taylor-Fourier Filters on Stray Flux Signals
G. Sarahi Aguayo-Tapia, Gerardo Avalos-Almazan, Jose de Jesus Rangel-Magdaleno, Jose Antonino-Daviu, Jose E. Ruiz-Sarrio, Larisa Dunai
IEEE International Symposium on Industrial Electronics, 2025
Higher-Order Spectral Analysis and Artificial Intelligence for Diagnosing Faults in Electrical Machines: An Overview
Miguel Enrique Iglesias Martínez, Jose A. Antonino-Daviu, Larisa Dunai, J. Alberto Conejero, Pedro Fernández de Córdoba
Mathematics, 2024
Start-Up and Steady-State Regimes Automatic Separation in Induction Motors by Means of Short-Time Statistics
Jonathan Cureño-Osornio, Carlos A. Alvarez-Ugalde, Israel Zamudio-Ramirez, Roque A. Osornio-Rios, Larisa Dunai, Dinu Turcanu, Jose A. Antonino-Daviu
Electronics Switzerland, 2024
Detection of Contamination and Failure in the Outer Race on Ceramic, Metallic, and Hybrid Bearings through AI Using Magnetic Flux and Current
Jonathan Cureño-Osornio, Geovanni Díaz-Saldaña, Roque A. Osornio-Rios, Larisa Dunai, Lilia Sava, Jose A. Antonino-Daviu, Israel Zamudio-Ramírez
Machines, 2024
Methodology for the Detection of Contamination and Gradual Outer Race Faults in Bearings by Fusion of Statistical Vibration–Current Features and SVM Classifier
Geovanni Díaz-Saldaña, Jonathan Cureño-Osornio, Israel Zamudio-Ramírez, Roque A. Osornio-Ríos, Larisa Dunai, Lilia Sava, Jose A. Antonino-Daviu
Applied Sciences Switzerland, 2024
FPGA-Microprocessor Based Sensor for Faults Detection in Induction Motors Using Time-Frequency and Machine Learning Methods
Roque Alfredo Osornio-Rios, Isaias Cueva-Perez, Alvaro Ivan Alvarado-Hernandez, Larisa Dunai, Israel Zamudio-Ramirez, Jose Alfonso Antonino-Daviu
Sensors, 2024
Exploring Ergonomic Advancements and Smart Technologies in Future Walkers
Isabel Seguí-Verdú, Larisa Dunai, Jose Alfonso Antonio-Daviu
IEEE International Symposium on Industrial Electronics, 2024
Electrical machines: Real-time Simulation for Intelligent Fault Diagnosis, Prognostics and Health Management
Shahin Hedayati Kia, Hubert Razik, Larisa Dunai
IECON Proceedings Industrial Electronics Conference, 2024
Integration of Wooclap and Autodesk© Technologies in Graphic Engineering Teaching
Isabel Seguí Verdú, Larisa Dunai, Lilia Sava
2024 IEEE 11th International Conference on E Learning in Industrial Electronics Icelie 2024, 2024
Bispectral Wavelet Time-Frequency Analysis for The Detection of Field Winding Faults in Synchronous Motors
Miguel E. Iglesias Martínez, Jose A. Antonino-Daviu, Larisa Dunai, Carlos A. Platero, J. Alberto Conejero, Pedro Fernandez De Cordoba
IEEE International Symposium on Industrial Electronics, 2024
Enhancing Bearing Lifespan Predictions: Integrating Deep Learning and Higher-Order Spectral Analysis with Acceleration-Based Approaches
Carlos A. Reyes Pérez, Miguel E. Iglesias Martínez, Jose A. Antonino-Daviu, Larisa Dunai, Jose Guerra Carmenate, J. Alberto Conejero, Pedro Fernandez de Cordoba
IECON Proceedings Industrial Electronics Conference, 2024
Multifractal Spectrum and Complex Cepstrum Analysis of Armature Currents and Stray Flux Signals for Sparking Detection in DC Motors
Jose Guerra Carmenate, Miguel E. Iglesias-Martínez, Pablo M. Velasco-Pla, Jose A. Antonino Daviu, Larisa Duna, J. Alberto Conejero, Pedro Fernández de Córdoba
IEEE Transactions on Industry Applications, 2024
WalkIES robotic walker and brief description of standard and robotic walkers
Larisa Dunai, Isabel Seguí Verdú, Alin Tisan, Hipólito Guzmán-Miranda, Victor Huang, Cheng-Jen Allen Chen, Daswin De Silva, Stamatis Karnouskos, Daisuke Chugo, Valeriy Vyatkin
IECON Proceedings Industrial Electronics Conference, 2024
Data Fusion System for Electric Motors Condition Monitoring: An Innovative Solution
Roque Alfredo Osornio-Rios, Israel Zamudio-Ramírez, Arturo Yosimar Jaen-Cuellar, Jose Antonino-Daviu, Larisa Dunai
IEEE Industrial Electronics Magazine, 2023
Analysis of Rotor Currents Under the Starting for the Detection of Stator Asymmetries in Wound Rotor Induction Motors
Israel Zamudio-Ramirez, Jose A. Antonino-Daviu, Roque Alfredo Osornio-Rios, Larisa Dunai, Vicente Biot-Monterde, Alfredo Quijano-Lopez, Vicente Fuster-Roig
IEEE Transactions on Industry Applications, 2023
Automatic Classification of Field Winding Faults in Synchronous Motors Based on Bicoherence Image Segmentation and Higher Order Statistics of Stray Flux Signals
Miguel Enrique Iglesias Martínez, Jose Guerra Carmenate, Jose Antonino-Daviu, Larisa Dunai, Carlos A. Platero, J. Alberto Conejero, Pedro Fernández de Córdoba
IEEE Transactions on Industry Applications, 2023
Product Modeling for Presentation in Graphic Design
Benyamin Soleimani, Larisa Dunai
Lecture Notes in Mechanical Engineering, 2023
Use of Smart Diagnosis Systems for Education on Electric Motors Predictive Maintenance
Jose Antonino-Daviu, Larisa Dunai, Roque A. Osornio-Rios, Israel Zamudio-Ramirez
2023 IEEE 10th International Conference on E Learning in Industrial Electronics Icelie 2023, 2023
Fault Diagnosis in Electric Motors through the Analysis of Currents and Stray Fluxes
Jose A. Antonino-Daviu, Israel Zamudio-Ramirez, Roque A. Osornio-Rios, Larisa Dunai
2023 International Conference on Electromechanical and Energy Systems Sielmen 2023 Proceedings, 2023
Experiences on Project Based Learning Education
Larisa Dunai Dunai, José A. Antonino Daviu, Lilia Sava, Pedro Fuentes Dura
2023 IEEE 10th International Conference on E Learning in Industrial Electronics Icelie 2023, 2023
Influence of the Flux Sensor Position for Rotor Fault Detection in WRIM: A Power Spectral Entropy Analysis
Jose Guerra Carmenate, Miguel E. Iglesias Martínez, Jose A. Antonino-Daviu, Pedro Fernandez de Cordoba, Larisa Dunai, Alfredo Quijano-Lopez
IEEE International Symposium on Industrial Electronics, 2023
Spectral Entropy and Frequency Cepstral Coefficients of Stray Flux Signals for Sparking Detection in DC Motors
Miguel E. Iglesias Martínez, Jose Guerra Carmenate, Jose A. Antonino-Daviu, Larisa Dunai, Pedro Fernandez de Cordoba, Pablo M Velasco-Pla, J. Alberto Conejero
Proceedings of the 2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines Power Electronics and Drives Sdemped 2023, 2023
Tracking of High-Order Stray-Flux Harmonics under Starting for the Detection of Winding Asymmetries in Wound-Rotor Induction Motors
Israel Zamudio-Ramirez, Jose Antonino-Daviu, Roque Osornio, Larisa Dunai
IEEE Transactions on Industrial Electronics, 2022
Active lower limb exoskeleton for walking and stand up
Larisa Dunai Dunai
IECON Proceedings Industrial Electronics Conference, 2022
Software tool for training on electric motors condition monitoring
Jose Antonino-Daviu, Larisa Dunai
Proceedings 2022 9th IEEE International Conference on E Learning in Industrial Electronics Icelie 2022, 2022
The Role of Graphic Design in Perceived of Enjoyment in Online Education
Benyamin Soleimani, Larisa Dunai
Lecture Notes in Mechanical Engineering, 2022
Hybrid and Online Learning during Covid-19; A show case study of Universitat Politecnica de Valencia
Larisa Dunai, Nuria Aleixos, Francisco Eugenio Albert Gil, Benyamin Soleimani
Proceedings 2022 9th IEEE International Conference on E Learning in Industrial Electronics Icelie 2022, 2022
Detection of Uniform Gearbox Wear in Induction Motors Based on the Analysis of Stray Flux Signals Through Statistical Time-Domain Features and Dimensionality Reduction Techniques
Israel Zamudio-Ramirez, Juan Jose Saucedo-Dorantes, Jose Antonino-Daviu, Roque Alfredo Osornio-Rios, Larisa Dunai
IEEE Transactions on Industry Applications, 2022
Detection of Stator Asymmetries in Wound Rotor Induction Motors through the Advanced Analysis of Rotor Currents
Israel Zamudio-Ramirez, Jose Antonino-Daviu, Roque A Osornio-Rios, Larisa Dunai, Alfredo Quijano-Lopez, Vicente Fuster-Roig
2022 IEEE Energy Conversion Congress and Exposition Ecce 2022, 2022
Multifractal 1-D Wavelet Leader based on Spectral Kurtosis of Armature Currents for Sparking Detection in DC Motors
M. E. Iglesias-Martinez, P. M. Velasco-Pla, J. Antonino-Daviu, J. Guerra Carmenate, L. Dunai, J. A. Conejero, P. Fernandez de Cordoba
2022 International Conference on Electrical Machines ICEM 2022, 2022
Bicoherence and Skewness-Kurtosis Analysis for the Detection of Field Winding Faults in Synchronous Motors using stray flux signals
Jose Guerra Carmenate, Miguel E. Iglesias Martinez, Jose A. Antonino-Daviu, Carlos Platero, Pedro Fernandez de Cordoba, Alberto Conejero, Larisa Dunai
2022 IEEE Energy Conversion Congress and Exposition Ecce 2022, 2022
A Cross-Disciplinary Outlook of Directions and Challenges in Industrial Electronics
Jinhua She, Hipolito Guzman-Miranda, Victor Huang, Allen C. Chen, Stamatis Karnouskos, Larisa Dunai, Chengbin Ma, Alin Tisan, Sho Yokota
IEEE Open Journal of the Industrial Electronics Society, 2022
Educational experiences on virtual teaching of electric motors condition monitoring courses
Jose A. Antonino-Daviu, Larisa Dunai
IECON Proceedings Industrial Electronics Conference, 2021
A Cross-Disciplinary View of Industrial Electronics: Change, Chance, and Challenge
Jinhua She, Hipolito Guzman-Miranda, Victor Huang, Allen C. Chen, Stamatis Karnouskos, Larisa Dunai, Alin Tisan, Sho Yokota
IECON Proceedings Industrial Electronics Conference, 2021
Detection of Field Winding Faults in Synchronous Motors via Analysis of Transient Stray Fluxes and Currents
Pengfei Tian, Jose Antonino-Daviu, Carlos A. Platero, Larisa Dunai
IEEE Transactions on Energy Conversion, 2021
Evaluation of the Damper Condition in Synchronous Motors through the Analysis of the Transient Stray Fluxes and Currents Considering the Effect of the Remanent Magnetism
Habib Castro-Coronado, Jose Antonino-Daviu, Alfredo Quijano-Lopez, Pedro Llovera-Segovia, Vicente Fuster-Roig, Luis Serrano-Iribarnegaray, Larisa Dunai
IEEE Transactions on Industry Applications, 2021
Envelope Spectral Kurtosis and SVD Analysis of Stray Flux Signals for the Diagnosis of Field Winding Faults in Synchronous Motors
Miguel Enrique. Iglesias Martinez, Jose A. Antonino-Daviu, Carlos Platero, Larisa Dunai, Alberto Conejero, Pedro Fernandez De Cordoba
IEEE International Symposium on Industrial Electronics, 2021
Application of transient analysis to detect rotor and stator asymmetries in wound rotor induction motors: A field case
Jose A Antonino-Daviu, Israel Zamudio-Ramirez, Roque A. Osornio-Rios, Larisa Dunai, Alfredo Quijano-Lopez
Proceedings 2021 IEEE Workshop on Electrical Machines Design Control and Diagnosis Wemdcd 2021, 2021
E-Learning in Industrial Electronics during Covid-19
Larisa Dunai, Joao Martins, Kazuhiro Umetani, Oscar Lucia, Yousef Ibrahim, Gayan Kahandawa Appuhamillage
Proceedings of the IEEE International Conference on Industrial Technology, 2021
Bispectrum and Kurtosis Analysis of Rotor Currents for the Detection of Field Winding Faults in Synchronous Motors
Miguel Enrique Iglesias Martinez, Jose A. Antonino-Daviu, Carlos A. Platero, Larisa Dunai, J. Alberto Conejero, Pedro Fernandez de Cordoba
Proceedings of the IEEE International Conference on Industrial Technology, 2021
Emerging Trends in Industrial Electronics: A Cross-Disciplinary View
Oscar Lucia, Jinhua She, Allen C. Chen, Zheyuan Cheng, Mo Yuen Chow, Larisa Dunai, Mickael Hilairet, Victor Huang, Eric Monmasson, Kazuhiro Umetani, Sho Yokota
IEEE Industrial Electronics Magazine, 2021
Empirical assessment of machine learning techniques for software requirements risk prediction
Rashid Naseem, Zain Shaukat, Muhammad Irfan, Muhammad Arif Shah, Arshad Ahmad, Fazal Muhammad, Adam Glowacz, Larisa Dunai, Jose Antonino-Daviu, Adel Sulaiman
Electronics Switzerland, 2021
Welcome to IEEE IES ICELIE 2021
Proceedings 2021 8th IEEE International Conference on E Learning in Industrial Electronics Icelie 2021, 2021
Educational experiences on virtual teaching of electric motors condition monitoring courses
Jose A. Antonino-Daviu, Larisa Dunai
Proceedings 2021 8th IEEE International Conference on E Learning in Industrial Electronics Icelie 2021, 2021
Human hand anatomy-based prosthetic hand
Larisa Dunai, Martin Novak, Carmen García Espert
Sensors Switzerland, 2021
Automatic Classification of Winding Asymmetries in Wound Rotor Induction Motors Based on Bicoherence and Fuzzy C-Means Algorithms of Stray Flux Signals
Miguel Enrique Iglesias Martinez, Jose A. Antonino-Daviu, Pedro Fernandez de Cordoba, J. Alberto Conejero, Larisa Dunai
IEEE Transactions on Industry Applications, 2021
Multifractal Spectrum and Higher Order Statistics for the Detection of Field Winding Faults in Wound Field Synchronous Motors
Miguel Enrique.Iglesias Martinez, Jose A. Antonino-Daviu, Carlos Platero, Larisa Dunai, J. Alberto Conejero, Pedro Fernandez de Cordoba
IEEE International Conference on Industrial Informatics Indin, 2021
Welcome Message from the Chairs Message from the Chairs Welcome to the 1st Conference on Online Teaching for Mobile Education (OT4ME! 2021)!
2021 1st Conference on Online Teaching for Mobile Education Ot4me 2021, 2021
Savior: A reliable fault resilient router architecture for network-on-chip
Ayaz Hussain, Muhammad Irfan, Naveed Khan Baloch, Umar Draz, Tariq Ali, Adam Glowacz, Larisa Dunai, Jose Antonino-Daviu
Electronics Switzerland, 2020
Development of a prosthetic hand based on human hand anatomy
Larisa Dunai Dunai, Martin Novak, Ismael Lengua Lengua
IECON Proceedings Industrial Electronics Conference, 2020
Parametric modeling strategy for automatic product configuration
Virgilio Veliz Vega, Francisco Albert Gil, Nuria Aleixos Borras, Larisa Dunai Dunai
IECON Proceedings Industrial Electronics Conference, 2020
Learning electrical and electronic engineering with multidisciplinary projects
Larisa Dunai Dunai, Ismael Lengua Lengua, Guillermo Peris Fajarnes, Beatriz Defez Garcia
IECON Proceedings Industrial Electronics Conference, 2019
Stray Flux Analysis for the Detection of Rotor Failures in Wound Rotor Induction Motors
Jose Antonino-Daviu, Israel Zamudio-Ramirez, Roque Alfredo Osornio-Rios, Vicente Fuster-Roig, Rene de JesusRomero-Troncoso, Larisa Dunai Dunai
IECON Proceedings Industrial Electronics Conference, 2019
Buffeting-Noise Evaluation in Passenger Vehicle BMV 530d
L. Dunai, I. Lengua, M. Iglesias, G. Peris-Fajarnés
Acoustical Physics, 2019
Modeling and development of a prosthesis inspired by the anthropometry of the hand
L. Dunai, I. Lengua, I. Capcanari, G. Peris-Fajarnés
Lecture Notes in Mechanical Engineering, 2019
Improving skills with project based learning in engineering
Larisa Dunai Dunai, Ismael Lengua Lengua, Guillermo Peris Fajarnés
Proceedings IECON 2017 43rd Annual Conference of the IEEE Industrial Electronics Society, 2017
Design of innovative laboratory sessions for electric motors predictive maintenance teaching
Jose Antonino-Daviu, Larisa Dunai, Vicente Climente-Alarcon
Proceedings IECON 2017 43rd Annual Conference of the IEEE Industrial Electronics Society, 2017
Euro banknote recognition system for blind people
Larisa Dunai Dunai, Mónica Chillarón Pérez, Guillermo Peris-Fajarnés, Ismael Lengua Lengua
Sensors Switzerland, 2017
Virtual Sound Localization by Blind People
Larisa Dunai, Ismael Lengua, Guillermo Peris-Fajarnés, Fernando Brusola
Archives of Acoustics, 2015
Design and development of an acoustic object detector device for blind people
Interciencia, 2015
Face detection and recognition application for Android
Monica Chillaron, Larisa Dunai, Guillermo Peris Fajarnes, Ismael Lengua Lengua
IECON 2015 41st Annual Conference of the IEEE Industrial Electronics Society, 2015
Education in electric and electronic engineering via students involvement in innovative projects
Larisa Dunai Dunai, Andres Prieto, Monica Chillaron, Jose A. Antonino-Daviu
IECON 2015 41st Annual Conference of the IEEE Industrial Electronics Society, 2015
Teaching electrical and electronic engineering to multi-cultural groups
Jose A. Antonino-Daviu, Larisa Dunai Dunai
2014 International Conference on Optimization of Electrical and Electronic Equipment Optim 2014, 2014
Obstacle detectors for visually impaired people
Larisa Dunai Dunai, Ismael Lengua Lengua, Ignacio Tortajada, Fernando Brusola Simon
2014 International Conference on Optimization of Electrical and Electronic Equipment Optim 2014, 2014
Decorative design of ceramic tiles adapted to inkjet printing employing digital image processing
B. Defez, V. Santiago-Praderas, E. Lluna, G. Peris-Fajarnés, L. Dunai
Boletin De La Sociedad Espanola De Ceramica Y Vidrio, 2013
Navigation device for blind people based on Time-of-Flight technology
Dyna Colombia, 2013
Human interaural time difference thresholds for sine tones: The high-frequency limit
Andrew Brughera, Larisa Dunai, William M. Hartmann
Journal of the Acoustical Society of America, 2013
Sensory navigation device for blind people
L. Dunai, G. Peris-Fajarnés, E. Lluna, B. Defez
Journal of Navigation, 2013
Interaural time difference thresholds as a function of frequency
William M. Hartmann, Larisa Dunai, Tianshu Qu
Advances in Experimental Medicine and Biology, 2013
Tables and smartphones for teaching in electrical and electronics engineering
Ismael Lengua, Larisa Dunai, Guillermo Peris-Fajarnes, Fernando Brusola
Proceedings 2013 7th IEEE International Conference on E Learning in Industrial Electronics Icelie 2013, 2013
3D CMOS sensor based acoustic object detection and navigation system for blind people
Larisa Dunai, Beatriz Defez Garcia, Ismael Lengua, Guillermo Peris-Fajarnes
IECON Proceedings Industrial Electronics Conference, 2012
Material sound source localization through headphones
Larisa Dunai, Guillermo Peris-Fajarnes, Ismael Lengua Lengua, Ignacio Tortajada Montaña
Acoustical Physics, 2012
Fuzzy free path detection based on dense disparity maps obtained from stereo cameras
NURIA ORTIGOSA, SAMUEL MORILLAS, GUILLERMO PERIS-FAJARNÉS, LARISA DUNAI
International Journal of Uncertainty Fuzziness and Knowldege Based Systems, 2012
Velocity vector (3D) measurement for spherical objects using an electro-optical device
E. Lluna, V. Santiago, B. Defez, L. Dunai, G. Peris-Fajarnes
Measurement Journal of the International Measurement Confederation, 2011
CASBHP - A new cognitive object detection and orientation system for impaired people
4th International Conference on Cognitive Systems Cogsys 2010, 2010
Real-time assistance prototype- A new navigation aid for blind people
Larisa Dunai, Guillermo Peris Fajarnes, Victor Santiago Praderas, Beatriz Defez Garcia, Ismael Lengua Lengua
IECON Proceedings Industrial Electronics Conference, 2010
Active methodology in the Audiovisual communication degree
J.L. Gimenez-Lopez, T. Magal Royo, Jesus García Laborda, Larisa Dunai
Procedia Social and Behavioral Sciences, 2010
The influence of the inter-click interval on moving sound source localization for navigation systems
Larisa Dunai, Guillermo Peris Fajarnes, Beatriz Defez Garcia, Victor Santiago Praderas, Ion Dunai
Acoustical Physics, 2010
Disparity maps for free path detection
Visapp 2010 Proceedings of the International Conference on Computer Vision Theory and Applications, 2010
Evolution study and new techniques of finite element analysis applied to the design of ceramic floorings
Boletin De La Sociedad Espanola De Ceramica Y Vidrio, 2009
Perception of the sound source position
Larisa Dunai, Guillermo Peris Fajarnes, Beatriz Defez Garcia, Nuria Ortigosa Araque, Fernando Brusola Simon
Acoustical Physics, 2009
Optimal design of deep back relief in ceramic floorings by means of the finite element method
Beatriz DEFEZ, Guillermo PERIS-FAJARNES, Ignacio TORTAJADA, Fernando BRUSOLA, Larisa DUNAI
Journal of the Ceramic Society of Japan, 2008

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