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Larisa Dunai

Universitat Politècnica de València

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Research Interests

Automotive Engineering

Hardware Engineering

Rotating Machinery

Electromechanics

Hysteresis Modeling

Electrical Engineering

Fault Diagnosis

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Articles21

Collaborators9

J. Alberto Conejero

PhD. Full Professor

Universitat Politècnica de València

JOSE ALFONSO ANTONINO-DAVIU

Associate Professor

Universitat Politècnica de València

Alfredo QUIJANO-LOPEZ

Director and Full Professor

Universitat Politècnica de València

Sho Yokota

Toyo University

Carlos Antonio Platero Gaona

Full Professor

Universidad Carlos III de Madrid Escuela Politécnica Superior

Hipólito Guzmán-Miranda

Profesor Titular de Universidad

Universidad de Sevilla

Kazuhiro Umetani

Associate Professor

Okayama University

Alin Tisan

Royal Holloway, University of London

UNITED KINGDOM

Hubert Razik

Université Claude Bernard Lyon 1

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Larisa Dunai

Profesor Titular de Universidad

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Research Interests

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Articles21

Real-Time Digital Twins for Intelligent Fault Diagnosis and Condition-Based Monitoring of Electrical Machines

TrailMap: Pheromone-Based Adaptive Peer Matching for Sustainable Online Support Communities

Evaluating Robotic Walker Performance: Stability, Responsiveness, and Accuracy in User Movement Detection

ADVANCEMENTS IN SENSOR TECHNOLOGY FOR AUTONOMOUS WALKER

Prosthetic Hand Based on Human Hand Anatomy Controlled by Surface Electromyography and Artificial Neural Network

Detection of Contamination and Failure in the Outer Race on Ceramic, Metallic, and Hybrid Bearings through AI Using Magnetic Flux and Current

Methodology for the Detection of Contamination and Gradual Outer Race Faults in Bearings by Fusion of Statistical Vibration–Current Features and SVM Classifier

FPGA-Microprocessor Based Sensor for Faults Detection in Induction Motors Using Time-Frequency and Machine Learning Methods

Higher-Order Spectral Analysis and Artificial Intelligence for Diagnosing Faults in Electrical Machines: An Overview

Start-Up and Steady-State Regimes Automatic Separation in Induction Motors by Means of Short-Time Statistics

Automatic Classification of Field Winding Faults in Synchronous Motors Based on Bicoherence Image Segmentation and Higher Order Statistics of Stray Flux Signals

Data Fusion System for Electric Motors Condition Monitoring: An Innovative Solution

Multifractal Spectrum and Complex Cepstrum Analysis of Armature Currents and Stray Flux Signals for Sparking Detection in DC Motors

Analysis of Rotor Currents Under the Starting for the Detection of Stator Asymmetries in Wound Rotor Induction Motors

Tracking of High-Order Stray-Flux Harmonics Under Starting for the Detection of Winding Asymmetries in Wound-Rotor Induction Motors

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

A Cross-Disciplinary Outlook of Directions and Challenges in Industrial Electronics

Emerging Trends in Industrial Electronics: A Cross-Disciplinary View

Automatic Classification of Winding Asymmetries in Wound Rotor Induction Motors Based on Bicoherence and Fuzzy C-Means Algorithms of Stray Flux Signals

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

Empirical Assessment of Machine Learning Techniques for Software Requirements Risk Prediction

Collaborators9

J. Alberto Conejero

JOSE ALFONSO ANTONINO-DAVIU

Alfredo QUIJANO-LOPEZ

Sho Yokota

Carlos Antonio Platero Gaona

Hipólito Guzmán-Miranda

Kazuhiro Umetani

Alin Tisan

Hubert Razik

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