Mateusz Dybkowski

Ph.D., D.Sc., WrUT Prof.

Politechnika Wroclawska

Poland

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About

Mateusz Dybkowski, Ph.D., D.Sc., is a Professor at Politechnika Wroclawska in Poland. His research focuses on advanced monitoring and diagnostic systems for hybrid-electric aircraft, including the application of neural networks and fault classification mechanisms in electrical motor drive systems. Recent publications highlight his work on DC-link capacitor monitoring, permanent magnet synchronous motors, and signal processing techniques for detecting various faults in electrical systems.

Articles (16)

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2025

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2025

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2025

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2024

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2024

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2023

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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 (5)

Karol Kyslan

SLOVAKIA

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Maciej Skowron

Assistant Professor

Wrocław University of Scince and Technology

POLAND

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František Ďurovský

SLOVAKIA

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Peter Bober

SLOVAKIA

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Marcin Wolkiewicz

Wroclaw University of Science and Technology

POLAND

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Mateusz Dybkowski

Research Interests

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Articles (16)

Discharge-Based DC-Bus Voltage Link Capacitor Monitoring with Repetitive Recursive Least Squares Method for Hybrid-Electric Aircraft

Application of Line-Start Permanent-Magnet Synchronous Motor in Converter Drive System with Increased Safety Level

Convolutional Neural Network Applications in Current Sensor Fault Classification Mechanisms in Permanent Magnet Synchronous Motor Drive Systems

DC-Link Capacitors Online Condition Monitoring Using Repetitive RLS in Hybrid-Electric Aircraft

Diagnosis of voltage unbalance state in a system with power converter

Detection and Classification of Rolling Bearing Defects Using Direct Signal Processing with Deep Convolutional Neural Network

Applications of the TL-Based Fault Diagnostic System for the Capacitor in Hybrid Aircraft

Classification of Speed Sensor Faults Based on Shallow Neural Networks

Experimental Analysis of the Current Sensor Fault Detection Mechanism Based on Neural Networks in the PMSM Drive System

Classification of Optoelectronic Rotary Encoder Faults Based on Deep Learning Methods in Permanent Magnet Synchronous Motor Drive System

The Application of a Sliding Mode Observer in a Speed Sensor Fault Tolerant PMSM Drive System

Experimental Analysis of the Current Sensor Fault Detection Mechanism Based on Cri Markers in the PMSM Drive System

A Comparative Study and Optimization of Switching Functions for Sliding-Mode Observer in Sensorless Control of PMSM

Design and Analysis of Current Sensor Fault Detection Mechanisms for PMSM Drives Based on Neural Networks

A Current Sensor Fault Tolerant Control Strategy for PMSM Drive Systems Based on Cri Markers

Post-Fault Demagnetization of a PMSG Under Field Oriented Control Operation

Collaborators (5)

Karol Kyslan

Maciej Skowron

František Ďurovský

Peter Bober

Marcin Wolkiewicz

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