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… - 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 …

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, 2020 - mdpi.com
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 …

Application of Support Vector Machine to stator winding fault detection and classification of permanent magnet synchronous motor

P Pietrzak, M Wolkiewicz - 2021 IEEE 19th International Power …, 2021 - ieeexplore.ieee.org
This paper deals with the topic of detecting and classifying one of the most common faults of
permanent magnet synchronous motor-interturn short circuits. The idea of using spectral …

Application of the STFT for Detection of the Rotor Unbalance of a Servo-Drive System with an Elastic Interconnection

P Ewert, B Wicher, T Pajchrowski - Electronics, 2024 - mdpi.com
The article focuses on the use of short-time Fourier transform (STFT) to detect the unbalance
of a drive with a flexible connection between the driving machine and the load. The authors …

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 …, 2020 - yadda.icm.edu.pl
In industrial drive systems, one of the widest group of machines are induction motors. During
normal operation, these machines are exposed to various types of damages, resulting in …

The application of the bispectrum analysis to detect the rotor unbalance of the induction motor supplied by the mains and frequency converter

P Ewert - Energies, 2020 - mdpi.com
This article presents the effectiveness of bispectrum analysis for the detection of the rotor
unbalance of an induction motor supplied by the mains and a frequency converter. Two …

Multi-level stator winding failure analysis on the insulation material for industrial induction motor

AK Verma, S Radhika - Experimental techniques, 2021 - Springer
Multi-level stator winding failure investigation on the insulation material for industrial
induction motor at its incipient stage can achieve tremendous energy savings, minimize …

Identification of inter-turn short-circuits in induction motor stator winding using simulated annealing

M Tomczyk, R Mielnik, A Plichta, I Goldasz, M Sułowicz - Energies, 2021 - mdpi.com
This paper presents a method of inter-turn short-circuit identification in induction motors
during load current variations based on a hybrid analytic approach that combines the …

[PDF][PDF] Application of neural networks and axial flux for the detection of stator and rotor faults of an induction motor

P Ewert - Power Electronics and Drives, 2019 - sciendo.com
The paper presents the possibility of using neural networks in the detection of stator and
rotor electrical faults of induction motors. Fault detection and identification are based on the …

Electrical fault diagnostic system based on the kohonen neural network classifier

M Wolkiewicz, M Skowron… - … symposium on electrical …, 2018 - ieeexplore.ieee.org
The article presents the results of experimental research on the application of an axial flux
analysis of the induction motor to the electrical fault detection using classifier based on the …