User profiles for Czeslaw T. Kowalski
Czeslaw T. KowalskiProfessot ofElectrical Engineering, Wroclaw University of Technology Verified email at pwr.wroc.pl Cited by 1287 |
Neural networks application for induction motor faults diagnosis
CT Kowalski, T Orlowska-Kowalska - Mathematics and computers in …, 2003 - Elsevier
The paper deals with diagnosis problems of the induction motors in the case of rotor, stator
and rolling bearing faults. Two kinds of neural networks (NN) were proposed for diagnostic …
and rolling bearing faults. Two kinds of neural networks (NN) were proposed for diagnostic …
Fault diagnosis and fault-tolerant control of PMSM drives–state of the art and future challenges
The issues of monitoring and fault diagnosis of drives with permanent magnet synchronous
motors (PMSMs) are currently very relevant because of the increasing use of these drives in …
motors (PMSMs) are currently very relevant because of the increasing use of these drives in …
Online stator interturn short circuits monitoring in the DFOC induction-motor drive
…, T Orłowska-Kowalska, CT Kowalski - IEEE Transactions …, 2016 - ieeexplore.ieee.org
This paper deals with monitoring of interturn short circuits of induction-motor (IM) stator windings
operating under the direct field-oriented control (DFOC). Time transients are presented …
operating under the direct field-oriented control (DFOC). Time transients are presented …
Detection of permanent magnet damage of PMSM drive based on direct analysis of the stator phase currents using convolutional neural network
…, T Orlowska-Kowalska, CT Kowalski - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Permanent magnet synchronous motors (PMSMs) due to their numerous advantages, such
as simple and compact design, easy production and high power-to-weight ratio, high power …
as simple and compact design, easy production and high power-to-weight ratio, high power …
Convolutional neural network-based stator current data-driven incipient stator fault diagnosis of inverter-fed induction motor
In this paper, the idea of using a convolutional neural network (CNN) for the detection and
classification of induction motor stator winding faults is presented. The diagnosis inference of …
classification of induction motor stator winding faults is presented. The diagnosis inference of …
Application of self-organizing neural networks to electrical fault classification in induction motors
Electrical winding faults, namely stator short-circuits and rotor bar damage, in total constitute
around 50% of all faults of induction motors (IMs) applied in variable speed drives (VSD). In …
around 50% of all faults of induction motors (IMs) applied in variable speed drives (VSD). In …
Low-cost monitoring and diagnosis system for rolling bearing faults of the induction motor based on neural network approach
In this article, a low-cost computer system for the monitoring and diagnosis of the condition of
the induction motor (IM) rolling bearings is demonstrated and tested. The system allows the …
the induction motor (IM) rolling bearings is demonstrated and tested. The system allows the …
Application of simplified convolutional neural networks for initial stator winding fault detection of the PMSM drive using different raw signal data
…, T Orlowska‐Kowalska, CT Kowalski - IET Electric Power …, 2021 - Wiley Online Library
Permanent magnet synchronous motors (PMSM) have become one of the most substantial
components of modern industrial drives. These motors, like all the others, can unfortunately …
components of modern industrial drives. These motors, like all the others, can unfortunately …
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, 2022 - mdpi.com
Mechanical unbalance is a phenomenon that concerns rotating elements, including rotors
in electrical machines. An unbalanced rotor generates vibration, which is transferred to the …
in electrical machines. An unbalanced rotor generates vibration, which is transferred to the …
Permanent magnet synchronous motor fault detection system based on transfer learning method
M Skowron, CT Kowalski - … 48th Annual Conference of the IEEE …, 2022 - ieeexplore.ieee.org
Permanent magnet synchronous motors (PMSMs) are increasingly used in industrial and
commercial applications. Due to their popularity, the fault detection of these machines …
commercial applications. Due to their popularity, the fault detection of these machines …