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Teresa Orlowska-Kowalska

Full Professor

Wroclaw University of Science and Technology

Poland

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Research Interests

Industrial Automation

50%

Automotive Engineering

60%

Electromechanics

70%

Fault Diagnosis

50%

Rotating Machinery

40%

Electric Machine

40%

Artificial Neural Network

30%

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Articles14

Innovative Extended Kalman Filter in a Coherent System for Detection and Compensation of Various Current Sensor Faults in the Induction Motor Drive

Article Link

Year:

2025

Online Short-Circuit Fault Detector of the Induction Motor Winding Based on MRAS Technique

Article Link

Year:

2025

Adaptive High Gain Observer Based MRAS for Sensorless Induction Motor Drives

Article Link

Year:

2024

Compensation of Current Sensor Faults in Vector-Controlled Induction Motor Drive Using Extended Kalman Filters

Article Link

Year:

2024

Implementation of MLP-Based Classifier of Current Sensor Faults in Vector-Controlled Induction Motor Drive

Article Link

Year:

2024

PMSM Stator Winding Fault Detection and Classification Based on Bispectrum Analysis and Convolutional Neural Network

Article Link

Year:

2023

Diagnosis of Stator Winding and Permanent Magnet Faults of PMSM Drive Using Shallow Neural Networks

Article Link

Year:

2023

Active Current Sensor Fault-Tolerant Control of Induction Motor Drive with Online Neural Network-Based Rotor and Stator Resistance Estimation

Article Link

Year:

2023

Analysis of the Stator Current Prediction Capabilities in Induction Motor Drive Using the LSTM Network

Article Link

Year:

2023

Influence of Parameter Uncertainty to Stator Current Reconstruction Using Modified Luenberger Observer for Current Sensor Fault-Tolerant Induction Motor Drive

Article Link

Year:

2022

Detection of Permanent Magnet Damage of PMSM Drive Based on Direct Analysis of the Stator Phase Currents Using Convolutional Neural Network

Article Link

Year:

2022

Fault Diagnosis and Prognosis of Mechatronic Systems Using Artificial Intelligence and Estimation Theory

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Year:

2022

Impact of the Convolutional Neural Network Structure and Training Parameters on the Effectiveness of the Diagnostic Systems of Modern AC Motor Drives

Article Link

Year:

2022

Classification of Single Current Sensor Failures in Fault-Tolerant Induction Motor Drive Using Neural Network Approach

Article Link

Year:

2022

Collaborators6

Czeslaw T. Kowalski

Wroclaw University of Science and Technology

POLAND

Maciej Skowron

Assistant Professor

Wrocław University of Scince and Technology

POLAND

Hafiz Ahmed

University of Sheffield

UNITED KINGDOM

Magdalena Miniach

Wrocław University of Scince and Technology

POLAND

Marcin Wolkiewicz

Wroclaw University of Science and Technology

POLAND

Michal Adamczyk

Wroclaw University of Science and Technology

POLAND

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