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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
36
Citations
6518
World Ranking
5289
National Ranking
10

Overview

Teresa Orlowska-Kowalska is affiliated with Wrocław University of Science and Technology in Poland. Their research primarily focuses on engineering with significant contributions in control and systems engineering, electrical and electronic engineering, and mechanical engineering. Some work also spans mechanics of materials and ocean engineering.

Their most frequent publication venues include:

  • Energies
  • IEEE Transactions on Industrial Electronics
  • Electronics
  • Bulletin of the Polish Academy of Sciences Technical Sciences
  • IEEE Access

They have explored a variety of topics in their research such as:

  • Machine Fault Diagnosis Techniques
  • Engineering Diagnostics and Reliability
  • Sensorless Control of Electric Motors
  • Electric Motor Design and Analysis
  • Electric Power Systems and Control
  • Fault Detection and Control Systems
  • Non-Destructive Testing Techniques

Some of their notable recent papers include:

  • Fault Diagnosis and Fault-Tolerant Control of PMSM Drives-State of the Art and Future Challenges, 2022, IEEE Access
  • Convolutional Neural Network-Based Stator Current Data-Driven Incipient Stator Fault Diagnosis of Inverter-Fed Induction Motor, 2020, Energies
  • Detection of Permanent Magnet Damage of PMSM Drive Based on Direct Analysis of the Stator Phase Currents Using Convolutional Neural Network, 2022, IEEE Transactions on Industrial Electronics
  • PMSM Stator Winding Fault Detection and Classification Based on Bispectrum Analysis and Convolutional Neural Network, 2022, IEEE Transactions on Industrial Electronics
  • Postfault Direct Field-Oriented Control of Induction Motor Drive Using Adaptive Virtual Current Sensor, 2021, IEEE Transactions on Industrial Electronics

The scientist collaborates frequently with several co-authors, including:

  • Maciej Skowron
  • Michał Adamczyk
  • C. T. Kowalski
  • Krystian Teler
  • Marcin Wolkiewicz

Overall, Teresa Orlowska-Kowalska's work encompasses a broad spectrum of engineering challenges, particularly in fault diagnosis and control systems in electric motor technologies. Their publications reflect ongoing investigations into machine fault diagnoses using data-driven and neural network approaches, sensorless control methodologies, and the reliability of electrical drives.

Best Publications

  • Industrial Applications of the Kalman Filter: A Review

    F. Auger;M. Hilairet;J. M. Guerrero;E. Monmasson

  • Stator-Current-Based MRAS Estimator for a Wide Range Speed-Sensorless Induction-Motor Drive

    T. Orlowska-Kowalska;M. Dybkowski

  • Vibration Suppression in a Two-Mass Drive System Using PI Speed Controller and Additional Feedbacks—Comparative Study

    K. Szabat;T. Orlowska-Kowalska

  • Adaptive Sliding-Mode Neuro-Fuzzy Control of the Two-Mass Induction Motor Drive Without Mechanical Sensors

    T. Orlowska-Kowalska;M. Dybkowski;K. Szabat

  • Neural networks application for induction motor faults diagnosis

    Czeslaw T. Kowalski;Teresa Orlowska-Kowalska

  • Performance Improvement of Industrial Drives With Mechanical Elasticity Using Nonlinear Adaptive Kalman Filter

    K. Szabat;T. Orlowska-Kowalska

  • FPGA Implementation of the Multilayer Neural Network for the Speed Estimation of the Two-Mass Drive System

    T. Orlowska-Kowalska;M. Kaminski

  • Constrained Model Predictive Control of the Drive System With Mechanical Elasticity

    M. Cychowski;K. Szabat;T. Orlowska-Kowalska

  • Application of extended Luenberger observer for flux and rotor time-constant estimation in induction motor drives

    T. Orlowska-Kowalska

  • Control of the Drive System With Stiff and Elastic Couplings Using Adaptive Neuro-Fuzzy Approach

    T. Orlowska-Kowalska;K. Szabat

  • Neural-Network Application for Mechanical Variables Estimation of a Two-Mass Drive System

    T. Orlowska-Kowalska;K. Szabat

  • Optimum Trajectory Control of the Current Vector of a Nonsalient-Pole PMSM in the Field-Weakening Region

    R. Nalepa;T. Orlowska-Kowalska

  • Advanced and Intelligent Control in Power Electronics and Drives

    Teresa Orlowska-Kowalska;Frede Blaabjerg;Jos Rodrguez

  • Damping of Torsional Vibrations in Two-Mass System Using Adaptive Sliding Neuro-Fuzzy Approach

    T. Orlowska-Kowalska;K. Szabat

  • Online Stator Interturn Short Circuits Monitoring in the DFOC Induction-Motor Drive

    Marcin Wolkiewicz;Grzegorz Tarchala;Teresa Orlowska-Kowalska;Czeslaw T. Kowalski

  • Convolutional Neural Network-Based Stator Current Data-Driven Incipient Stator Fault Diagnosis of Inverter-Fed Induction Motor

    Maciej Skowron;Teresa Orlowska-Kowalska;Marcin Wolkiewicz;Czeslaw T. Kowalski

  • Implementation of a Sliding-Mode Controller With an Integral Function and Fuzzy Gain Value for the Electrical Drive With an Elastic Joint

    Unknown

  • A review on MRAS-type speed estimators for reliable and efficient induction motor drives.

    Mateusz Korzonek;Grzegorz Tarchala;Teresa Orlowska-Kowalska

  • Optimization of fuzzy-logic speed controller for DC drive system with elastic joints

    T. Orlowska-Kowalska;K. Szabat

  • Application of the Kalman Filters to the High-Performance Drive System With Elastic Coupling

    K. Szabat;T. Orlowska-Kowalska

  • Original article: Sliding-mode direct torque control and sliding-mode observer with a magnetizing reactance estimator for the field-weakening of the induction motor drive

    T. Orlowska-Kowalska;G. Tarchala;M. Dybkowski

  • Advanced and Intelligent Control in Power Electronics and Drives 123

    Unknown

Frequent Co-Authors

Seiichiro Katsura
Seiichiro Katsura Keio University
Josep M. Guerrero
Josep M. Guerrero Universitat Politècnica de Catalunya
Eric Monmasson
Eric Monmasson CY Cergy Paris University
Frede Blaabjerg
Frede Blaabjerg Aalborg University
Emil Levi
Emil Levi Liverpool John Moores University
Marian P. Kazmierkowski
Marian P. Kazmierkowski Warsaw University of Technology
Marko Hinkkanen
Marko Hinkkanen Aalto University
Mariusz Malinowski
Mariusz Malinowski Warsaw University of Technology

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