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Czeslaw T. Kowalski
Czeslaw T. Kowalski
Professot ofElectrical Engineering, Wroclaw University of Technology
Verifierad e-postadress på pwr.wroc.pl
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Neural networks application for induction motor faults diagnosis
CT Kowalski, T Orlowska-Kowalska
Mathematics and computers in simulation 63 (3-5), 435-448, 2003
2262003
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
1682022
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
1102020
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
802022
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
622019
Low-cost monitoring and diagnosis system for rolling bearing faults of the induction motor based on neural network approach
P Ewert, CT Kowalski, T Orlowska-Kowalska
Electronics 9 (9), 1334, 2020
402020
FPGA implementation of DTC control method for the induction motor drive
CT Kowalski, J Lis, T Orlowska-Kowalska
EUROCON 2007-The International Conference on" Computer as a Tool", 1916-1921, 2007
352007
Stator and rotor faults monitoring of the inverter-fed induction motor drive using state estimators
CT Kowalski, R Wierzbicki, M Wolkiewicz
Automatika: časopis za automatiku, mjerenje, elektroniku, računarstvo i …, 2013
342013
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
302021
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
302019
Neural network application for flux and speed estimation in the sensorless induction motor drive
T Orlowska-Kowalska, CT Kowalski
ISIE'97 Proceeding of the IEEE International Symposium on Industrial …, 1997
281997
On-line neural network-based stator fault diagnosis system of the converter-fed induction motor drive
M Wolkiewicz, CT Kowalski
IECON 2013-39th Annual Conference of the IEEE Industrial Electronics Society …, 2013
272013
Rotor fault analysis in the sensorless field oriented controlled induction motor drive
T Orlowska-Kowalska, M Dybkowski, CT Kowalski
Automatika: časopis za automatiku, mjerenje, elektroniku, računarstvo i …, 2010
252010
Stator faults diagnosis of the converter-fed induction motor using symmetrical components and neural networks
CT Kowalski, M Wolkiewicz
2009 13th European Conference on Power Electronics and Applications, 1-6, 2009
252009
Rotor fault detector of the converter-fed induction motor based on RBF neural network
M Kamiński, CT Kowalski
Bulletin of the Polish Academy of Sciences Technical Sciences, 69-76-69-76, 2014
242014
Comparison of the effectiveness of selected vibration signal analysis methods in the rotor unbalance detection of PMSM drive system
P Ewert, CT Kowalski, M Jaworski
Electronics 11 (11), 1748, 2022
222022
The influence of sensor faults on PM BLDC motor drive
M Skóra, CT Kowalski
2015 International Conference on Electrical Drives and Power Electronics …, 2015
182015
Application of neural networks for the induction motor faults detection
CT Kowalski, T Orlowska-Kowalska
Trans. of IMACS Mathematics and Computers in Simulation 63 (3–5), 435-448, 2003
182003
Selected rolling bearing fault diagnostic methods in wheel embedded permanent magnet brushless direct current motors
M Skora, P Ewert, CT Kowalski
Energies 12 (21), 4212, 2019
172019
Comparative study of different flux estimators for sensorless induction motor drive
T Orłowska-Kowalska, P Wojsznis, CT Kowalski
Archives of Electrical Engineering 49 (1), 49-63, 2000
172000
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Artiklar 1–20