dr hab. inż. Maciej Skowron

Email: maciej.skowron@pwr.edu.pl

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Structure: Faculty of Electrical Engineering » Department of Electrical Machines, Drives and Measurements

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Contact:

19 Smoluchowskiego St., 50-372 Wroclaw

Building A10, Room 401 (4th floor)

Phone: 71 320 33 52

Office hours (summer: 2023/2024):

Tuesday 9.00 - 11.00
Thursday 11.00 - 13.00

Research fields:

• diagnostics of electrical machines and drives,
• application of artificial intelligence methods in diagnostics,
• implementation of artificial intelligence methods in programmable systems,
• application of deep learning methods in technology,
• modelling and simulation of drive systems.

Functions:

• Head of the Electromobility Laboratory (building D20, room 505)
• Member of Academia Iuvenum (term of office 2023-2025)

Membership of scientific and technical organisations:

• Member of the Institute of Electrical and Electronics Engineers (IEEE)
• Member of the IEEE Industrial Electronics Society (IEEE IES) 
• Member of the Association of Polish Electrical Engineers 

Research projects:

• Fault diagnosis of permanent magnet synchronous motors using deep neural networks and transfer learning, 2022 - 2024, National Science Centre (NCN), PRELUDIUM 20, project leader.
• Current sensor fault detection and compensation methods for induction and synchronous motor drives based on modified state variable observers, 2022 - 2025, National Science Centre (NCN), OPUS 21, contractor.
• Hybrid fault detection methods for permanent magnet synchronous motors in vector-controlled electric drives using analytical and neural computing, 2018-2021, National Science Centre (NCN), OPUS 14, grantee.

Selected publications
1	Artykuł 2026 Mateusz S Krzysztofiak Maciej Skowron Diagnostyka uszkodzeń łożysk tocznych z wykorzystaniem map Kohonena w sterowaniu polowo zorientowanym silnika PMSM. Przegląd Elektrotechniczny. 2026, R. 102, nr 5, s. 158-164. ISSN: 0033-2097; 2449-9544 Zasoby:DOIURL
2	Referat konferencyjny 2025 Maciej Skowron Krystian Teler Teresa Orłowska-Kowalska Current sensor fault diagnosis based on digital filter and shallow neural network. W: IECON 2025 - 51st Annual Conference of the IEEE Industrial Electronics Society : Madrid, Spain, 14-17 October, 2025. [Danvers, MA] : IEEE, 2025. s. 1-6. ISBN: 979-8-3315-9681-1; 979-8-3315-9682-8 Zasoby:URL
3	Referat konferencyjny 2025 Krystian Teler Maciej Skowron Teresa Orłowska-Kowalska Analysis of the impact of stator phase current sensor faults on the performance of a permanent magnet motor drive. W: EDPE 2025 : 37th International Conference on Electrical Drives & Power Electronics (EDPE) : 12th Joint Croatia-Slovakia Conference, Dubrovnik, Croatia, September 24-26, 2025 : proceedings / eds. Željko Jakopović, Jadranko Matuško. Danvers, MA : IEEE, 2025. s. 1-6. ISBN: 978-1-6654-5787-3 Zasoby:DOI
4	Referat konferencyjny 2025 Krystian Teler Maciej Skowron Teresa Orłowska-Kowalska Comparison of shallow and deep neural architectures for fault diagnosis of current sensors in PMSM drive. W: EDPE 2025 : 37th International Conference on Electrical Drives & Power Electronics (EDPE) : 12th Joint Croatia-Slovakia Conference, Dubrovnik, Croatia, September 24-26, 2025 : proceedings / eds. Željko Jakopović, Jadranko Matuško. Danvers, MA : IEEE, 2025. s. 1-6. ISBN: 978-1-6654-5787-3 Zasoby:DOI
5	Referat konferencyjny 2025 Krystian Teler Maciej Skowron Teresa Orłowska-Kowalska Phase current estimation in PMSM drives using open-loop observers. W: EDPE 2025 : 37th International Conference on Electrical Drives & Power Electronics (EDPE) : 12th Joint Croatia-Slovakia Conference, Dubrovnik, Croatia, September 24-26, 2025 : proceedings / eds. Željko Jakopović, Jadranko Matuško. Danvers, MA : IEEE, 2025. s. 1-6. ISBN: 978-1-6654-5787-3 Zasoby:DOI
6	Artykuł 2025 Jeremi J Jarosz Maciej Skowron Oliwia Frankiewicz Marcin Wolkiewicz Sebastien Weisse, Jerome Valire, Krzysztof Szabat Diagnostic Signal Acquisition Time Reduction Technique in the Induction Motor Fault Detection and Localization Based on SOM-CNN. Electronics. 2025, vol. 14, nr 12, art. 2373, s. 1-20. ISSN: 2079-9292 Zasoby:DOIURLSFX
7	Artykuł 2025 Oliwia Frankiewicz Maciej Skowron Jeremi J Jarosz Sebastien Weisse, Jerome Valire, Krzysztof Szabat Classification of rolling bearing defects based on the direct analysis of phase currents. Energies. 2025, vol. 18, nr 10, art. 2645, s. 1-14. ISSN: 1996-1073 Zasoby:DOISFX
8	Artykuł 2025 Maciej Skowron Mateusz S Krzysztofiak Permanent magnet synchronous motor stator and rotor fault detection using transfer learning and field-circuit model. IEEE Access. 2025, vol. 13, s. 74555-74566. ISSN: 2169-3536 Zasoby:DOISFX
9	Referat konferencyjny 2024 Krystian Teler Maciej Skowron Teresa Orłowska-Kowalska Fault classification of stator current sensors using LSTM neural network in an induction motor drive. W: 2024 IEEE 21st International Power Electronics and Motion Control Conference (PEMC) : 30 September 2024 - 03 October 2024. Danvers, MA : IEEE, 2024. s. 1-6. ISBN: 979-8-3503-8523-6 Zasoby:DOI
10	Referat konferencyjny 2024 Maciej Skowron Krystian Teler Teresa Orłowska-Kowalska Early fault detection of current sensors operating in a closed-loop control structure using transfer learning. W: 2024 IEEE 21st International Power Electronics and Motion Control Conference (PEMC) : 30 September 2024 - 03 October 2024. Danvers, MA : IEEE, 2024. s. 1-6. ISBN: 979-8-3503-8523-6 Zasoby:DOI
11	Artykuł 2024 Maciej Skowron Transfer learning-based fault detection system of permanent magnet synchronous motors. IEEE Access. 2024, vol. 12, s. 135372-135389. ISSN: 2169-3536 Zasoby:DOIURLSFX

All employee publications