Artificial intelligence-based technique for fault detection and diagnosis of EV motors: A review

W Lang, Y Hu, C Gong, X Zhang, H Xu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The motor drive system plays a significant role in the safety of electric vehicles as a bridge
for power transmission. Meanwhile, to enhance the efficiency and stability of the drive …

Inverter-Fed Motor Drive System: A Systematic Analysis of Condition Monitoring and Practical Diagnostic Techniques

MU Sardar, T Vaimann, L Kütt, A Kallaste, B Asad… - Energies, 2023 - mdpi.com
Due to their efficiency and control capabilities, induction motors fed with inverters have
become prevalent in various industrial applications. However, ensuring the reliable …

Feature knowledge based fault detection of induction motors through the analysis of stator current data

T Yang, H Pen, Z Wang… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
The fault detection of electrical or mechanical anomalies in induction motors has been a
challenging problem for researchers over decades to ensure the safety and economic …

Stator fault analysis of three-phase induction motors using information measures and artificial neural networks

GH Bazan, PR Scalassara, W Endo, A Goedtel… - Electric Power Systems …, 2017 - Elsevier
The three-phase induction motors are considered one of the most important elements of the
industrial process. However, in this environment, these machines are subject to electrical …

Early fault detection in induction motors using AdaBoost with imbalanced small data and optimized sampling

I Martin-Diaz, D Morinigo-Sotelo… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Intelligent fault detection in induction motors (IMs) is a widely studied research topic. Various
artificial-intelligence-based approaches have been proposed to deal with a large amount of …

State-of-the-art techniques for fault diagnosis in electrical machines: advancements and future directions

S Akbar, T Vaimann, B Asad, A Kallaste, MU Sardar… - Energies, 2023 - mdpi.com
Electrical machines are prone to various faults and require constant monitoring to ensure
safe and dependable functioning. A potential fault in electrical machinery results in …

A comprehensive evaluation of intelligent classifiers for fault identification in three-phase induction motors

RHC Palácios, IN Da Silva, A Goedtel… - Electric Power Systems …, 2015 - Elsevier
Three-phase induction motors are the key elements of electromechanical energy conversion
for a variety of industrial sectors. The ability to identify motor faults before they occur can …

State of the art and trends in the monitoring, detection and diagnosis of failures in electric induction motors

Y Merizalde, L Hernández-Callejo, O Duque-Perez - Energies, 2017 - mdpi.com
Despite the complex mathematical models and physical phenomena on which it is based,
the simplicity of its construction, its affordability, the versatility of its applications and the …

Convolutional neural network and motor current signature analysis during the transient state for detection of broken rotor bars in induction motors

M Valtierra-Rodriguez, JR Rivera-Guillen… - Sensors, 2020 - mdpi.com
Although induction motors (IMs) are robust and reliable electrical machines, they can suffer
different faults due to usual operating conditions such as abrupt changes in the mechanical …

Application of intelligent tools to detect and classify broken rotor bars in three‐phase induction motors fed by an inverter

WF Godoy, IN da Silva, A Goedtel… - IET Electric Power …, 2016 - Wiley Online Library
A comprehensive study of intelligent tools used to classify broken rotor bars in induction
motors, which operate with three different types of frequency inverters, is presented. The …