Oscar Duque-Perez

Full Professor

Universidad de Valladolid

Spain

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About

Oscar Duque-Perez is a Full Professor at the University of Valladolid in Spain. His research areas focus on the diagnosis of induction motors and electrical systems, with recent publications covering topics such as bilinear distributions, instantaneous speed estimation, and harmonic distortion in electrical distribution systems. Prof. Duque-Perez has contributed to advancements in diagnosing rotor faults and optimizing power transmission in high-speed rail systems.

Articles (18)

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2026

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Profesor Contratado Doctor

Universidad de Valladolid

SPAIN

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Oscar Duque-Perez

Research Interests

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Articles (18)

Cohen’s class bilinear distributions and convolutional neural networks applied to broken rotor bar diagnosis

A Novel Subband Method for Instantaneous Speed Estimation of Induction Motors Under Varying Working Conditions

Detecting Particle Contamination in Bearings of Inverter-Fed Induction Motors: A Comparative Evaluation of Monitoring Signals

Broken rotor bar fault detection — A virtual current approach combined with a robust linear parameter-varying observer

Imbalanced Diagnosis Scheme for Incipient Rotor Faults in Inverter-Fed Induction Motors

The Analysis of Odd Triple Harmonics to Detect Broken Rotor Bar in Delta-Connected Induction Motors

Reduction of power transmission losses in high-speed rail systems through efficient scheduling

Harmonic Distortion Indices for Experimental Characterization of Variable Frequency Drives

Harmonic Distortion and Hosting Capacity in Electrical Distribution Systems with High Photovoltaic Penetration: The Impact of Electric Vehicles

End-Ring Wear in Deep-Well Submersible Motor Pumps

Analysis of the Integration of Drift Detection Methods in Learning Algorithms for Electrical Consumption Forecasting in Smart Buildings

Charge Management of Electric Vehicles from Undesired Dynamics in Solar Photovoltaic Generation

Conversion of a Network Section with Loads, Storage Systems and Renewable Generation Sources into a Smart Microgrid

A Review of Total Harmonic Distortion Factors for the Measurement of Harmonic and Interharmonic Pollution in Modern Power Systems

A Data-Driven Forecasting Strategy to Predict Continuous Hourly Energy Demand in Smart Buildings

Analysis of the behavior of MVDC system in a distribution grid compared to a UPFC system

Diagnosis of Broken Bars in Wind Turbine Squirrel Cage Induction Generator: Approach Based on Current Signal and Generative Adversarial Networks

Multi-Fault Diagnosis in Three-Phase Induction Motors Using Data Optimization and Machine Learning Techniques

Collaborators (8)

Angel Luis Zorita Lamadrid

DANIEL MORINIGO-SOTELO

Angel Arranz-Gimon

Roberto Villafafila-Robles

Hugo J. Bello

Vanessa Fernandez-Cavero

Luis Hernández Callejo

Víctor Alonso Gómez

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