| Fault diagnosis and fault-tolerant control of PMSM drives–state of the art and future challenges T Orlowska-Kowalska, M Wolkiewicz, P Pietrzak, M Skowron, P Ewert, ... Ieee Access 10, 59979-60024, 2022 | 118 | 2022 |
| Convolutional neural network-based stator current data-driven incipient stator fault diagnosis of inverter-fed induction motor M Skowron, T Orlowska-Kowalska, M Wolkiewicz, CT Kowalski Energies 13 (6), 1475, 2020 | 95 | 2020 |
| Application of self-organizing neural networks to electrical fault classification in induction motors M Skowron, M Wolkiewicz, T Orlowska-Kowalska, CT Kowalski Applied Sciences 9 (4), 616, 2019 | 61 | 2019 |
| Detection of permanent magnet damage of PMSM drive based on direct analysis of the stator phase currents using convolutional neural network M Skowron, T Orlowska-Kowalska, CT Kowalski IEEE Transactions on Industrial Electronics 69 (12), 13665-13675, 2022 | 60 | 2022 |
| Analysis of the impact of stator inter-turn short circuits on PMSM drive with scalar and vector control M Krzysztofiak, M Skowron, T Orlowska-Kowalska Energies 14 (1), 153, 2020 | 29 | 2020 |
| Application of simplified convolutional neural networks for initial stator winding fault detection of the PMSM drive using different raw signal data M Skowron, T Orlowska‐Kowalska, CT Kowalski IET Electric Power Applications 15 (7), 932-946, 2021 | 27 | 2021 |
| Effectiveness of selected neural network structures based on axial flux analysis in stator and rotor winding incipient fault detection of inverter-fed induction motors M Skowron, M Wolkiewicz, T Orlowska-Kowalska, CT Kowalski Energies 12 (12), 2392, 2019 | 27 | 2019 |
| Diagnostic system for induction motor stator winding faults based on axial flux M Wolkiewicz, M Skowron Power electronics and drives 2 (2), 137-150, 2017 | 20 | 2017 |
| Application of deep learning neural networks for the diagnosis of electrical damage to the induction motor using the axial flux M Skowron Bulletin of the Polish Academy of Sciences. Technical Sciences 68 (5), 2020 | 14 | 2020 |
| Efficiency of cascaded neural networks in detecting initial damage to induction motor electric windings M Skowron, T Orłowska-Kowalska Electronics 9 (8), 1314, 2020 | 13 | 2020 |
| Effectiveness of neural fault detectors of permanent magnet synchronous motor trained with symptoms from field-circuit modeling M Skowron, M Krzysztofiak, T Orlowska-Kowalska IEEE Access 10, 104598-104611, 2022 | 12 | 2022 |
| Classification of single current sensor failures in fault-tolerant induction motor drive using neural network approach M Skowron, K Teler, M Adamczyk, T Orlowska-Kowalska Energies 15 (18), 6646, 2022 | 11 | 2022 |
| Permanent magnet synchronous motor fault detection system based on transfer learning method M Skowron, CT Kowalski IECON 2022–48th Annual Conference of the IEEE Industrial Electronics Society …, 2022 | 10 | 2022 |
| Stator winding fault diagnosis of induction motor operating under the field-oriented control with convolutional neural networks M Skowron, M Wolkiewicz, G Tarchała Bulletin of the Polish Academy of Sciences: Technical Sciences, 2020 | 10 | 2020 |
| Diagnosis of stator winding and permanent magnet faults of PMSM drive using shallow neural networks M Skowron, T Orlowska-Kowalska, CT Kowalski Electronics 12 (5), 1068, 2023 | 8 | 2023 |
| Electrical fault diagnostic system based on the kohonen neural network classifier M Wolkiewicz, M Skowron, CT Kowalski 2018 International symposium on electrical machines (SME), 1-5, 2018 | 6 | 2018 |
| Implementation of mlp-based classifier of current sensor faults in vector-controlled induction motor drive K Teler, M Skowron, T Orłowska-Kowalska IEEE Transactions on Industrial Informatics, 2023 | 4 | 2023 |
| Development of a universal diagnostic system for stator winding faults of induction motor and PMSM based on transfer learning M Skowron 2023 IEEE 14th International Symposium on Diagnostics for Electrical …, 2023 | 4 | 2023 |
| Application of hybrid neural network to detection of induction motor electrical faults M Skowron, M Wolkiewicz, CT Kowalski, T Orlowska-Kowalska 2019 International Conference on Electrical Drives & Power Electronics (EDPE …, 2019 | 4 | 2019 |
| Impact of the Convolutional Neural Network Structure and Training Parameters on the Effectiveness of the Diagnostic Systems of Modern AC Motor Drives M Skowron, CT Kowalski, T Orlowska-Kowalska Energies 15 (19), 7008, 2022 | 3 | 2022 |
Teresa Orlowska-KowalskaProfessor of Electrical Engineering, Wroclaw University of Science and Technology, Poland在 pwr.edu.pl 的电子邮件经过验证
