DAVID DIAZ REIGOSA

PROFESSOR

University of Oviedo

Spain

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David Diaz Reigosa is a Professor at the University of Oviedo, Spain. His research focuses on optimization in magnetization state manipulation, power converter topologies, and insulation testing for renewable energy applications. He has published extensively on topics including demagnetization detection in synchronous motors and automated testing for early identification of insulation issues in low voltage motors.

Articles (14)

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2025

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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2021

Collaborators (3)

fernando briz

Full Professor

University of Oviedo

SPAIN

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Juan Manuel Guerrero

Catedrático de Universidad/Full Professor

University of Oviedo

SPAIN

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Sang Bin Lee

Korea University

SOUTH KOREA

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DAVID DIAZ REIGOSA

Research Interests

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Articles (14)

Optimization of Magnetization State Manipulation in Variable-Flux PMSMs

Comparative Analysis of Power Converter Topologies for Hydrogen Electrolyzers

Inverter-embedded DFIG Rotor Winding Insulation Testing for Wind Energy Applications

Detection of Trailing Edge PM Demagnetization in Surface PM Synchronous Motors

Enhanced Torque Estimation in Variable Leakage Flux PMSM Combining High and Low Frequency Signal Injection

Automated Testing for Early Identification of PD in the Stator Insulation of Low Voltage VFD Motors

Demagnetization Detection and Severity Assessment in PMSMs Using Search Coils Exploiting Machine's Symmetry

Variable Leakage Flux Permanent Magnet Synchronous Machine PM Temperature Estimation Based on PM Flux Linkage

Saliency-Based Rotor Spatial Position Displacement Self-Sensing for Self-Bearing Machines

Airgap Search Coil Based Identification of PM Synchronous Motor Defects

A Simple Method for Identifying Mass Unbalance Using Vibration Measurement in Permanent Magnet Synchronous Motors

Dq-Transformed Error and Current Sensing Error Effects on Self-Sensing Control

Sensorless Control of Wound Rotor Synchronous Motors Based on Rotor High-Frequency Signal Injection

SynRM Sensorless Torque Estimation Using High-Frequency Signal Injection

Collaborators (3)

fernando briz

Juan Manuel Guerrero

Sang Bin Lee

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