Fault detection and diagnosis of the electric motor drive and battery system of electric vehicles

MZ Khaneghah, M Alzayed, H Chaoui - Machines, 2023 - mdpi.com
Fault detection and diagnosis (FDD) is of utmost importance in ensuring the safety and
reliability of electric vehicles (EVs). The EV's power train and energy storage, namely the …

Machine learning-based stator current data-driven PMSM stator winding fault diagnosis

P Pietrzak, M Wolkiewicz - Sensors, 2022 - mdpi.com
Permanent magnet synchronous motors (PMSMs) have become one of the most important
components of modern drive systems. Therefore, fault diagnosis and condition monitoring of …

Application of continuous wavelet transform and convolutional neural networks in fault diagnosis of PMSM stator windings

P Pietrzak, M Wolkiewicz - Bulletin of the Polish Academy of …, 2024 - yadda.icm.edu.pl
Efficiency, reliability, and durability play a key role in modern drive systems in line with the
Industry 4.0 paradigm and the sustainability trend. To ensure this, highly efficient motors and …

Detection and Classification of Rolling Bearing Defects Using Direct Signal Processing with Deep Convolutional Neural Network

M Skowron, O Frankiewicz, JJ Jarosz, M Wolkiewicz… - Electronics, 2024 - mdpi.com
Currently, great emphasis is being placed on the electrification of means of transportation,
including aviation. The use of electric motors reduces operating and maintenance costs …

Convolutional Neural Networks Application in Current Sensors Fault Classification Mechanism in Permanent Magnet Synchronous Motor Drive System

K Jankowska, M Dybkowski - Available at SSRN 4955548 - papers.ssrn.com
In this article the possibilities of the Convolutional Neural Networks application to classify
stator current sensors faults in a vector-controlled drive with a Permanent Magnet …