An application of fuzzy fault tree analysis for reliability evaluation of wind energy system

I Akhtar, S Kirmani - IETE Journal of Research, 2022 - Taylor & Francis
In this paper, a fuzzy fault tree analysis technique for reliability evaluation of the wind energy
system is presented. The technique combines the operational failures effect and the errors in …

Artificial neural network‐based fault diagnosis in the AC–DC converter of the power supply of series hybrid electric vehicle

SS Moosavi, A Djerdir, Y Ait‐Amirat… - … Electrical Systems in …, 2016 - Wiley Online Library
AC–DC converter switches of the drive train of series hybrid electric vehicles (SHEVs) are
generally exposed to the possibility of outbreak open‐phase faults because of troubles with …

Neural Network Based Fault Detection and Diagnosis System for Three‐Phase Inverter in Variable Speed Drive with Induction Motor

F Asghar, M Talha, SH Kim - Journal of Control Science and …, 2016 - Wiley Online Library
Recently, electrical drives generally associate inverter and induction machine. Therefore,
inverter must be taken into consideration along with induction motor in order to provide a …

Advances in classifier evaluation: Novel insights for an electric data-driven motor diagnosis

I Martin-Diaz, D Morinigo-Sotelo, O Duque-Perez… - IEEE …, 2016 - ieeexplore.ieee.org
Fault diagnosis of inductions motors has received much attention recently. Most of the works
use data obtained either from the time domain or by applying advanced techniques in the …

Open-transistor fault detection and diagnosis based on current trajectory in a two-level voltage source inverter

N Raj, J Mathew, G Jagadanand, S George - Procedia Technology, 2016 - Elsevier
Even though technological developments in the area of control of voltage source inverter
(VSI) have reached a relatively matured state, advances in improving the reliability of VSI is …

A novel three-phase inverter fault diagnosis system using three-dimensional feature extraction and neural network

M Talha, F Asghar, SH Kim - Arabian Journal for Science and Engineering, 2019 - Springer
In general, fault diagnosis and classification is concerned about monitoring a system,
identifying the fault occurrence and pinpointing the exact fault location. Fault diagnosis and …

Faults diagnosis between PEM fuel cell and DC/DC converter using neural networks for automotive applications

A Mohammadi, D Guilbert, A Gaillard… - IECON 2013-39th …, 2013 - ieeexplore.ieee.org
Fault tolerance in proton exchange membrane fuel cell (PEMFC) and power converters for
automotive applications has become crucial in order to increase the reliability of the power …

Artificial neural network approach assessment of short-circuit fault detection in a three phase inverter

M Abid, SS Laribi, ZS Al-asgar - 2021 International Congress …, 2021 - ieeexplore.ieee.org
The design of a new technique based on Neural Networks for the diagnosis of three-phase
inverters is the objective of this article. The new technique is based on the fast Fourier …

Pattern recognition and diagnosis of short and open circuit faults inverter in induction motor drive using neural networks

Y Tamissa, F Charif, F Kadri… - … originalnih istraživanja s …, 2022 - hrcak.srce.hr
Sažetak Nowadays, feeding induction motors with voltage source inverters under faulty
conditions is a major challenge. For this reason, electrical systems must be well thought out …

Machine learning-assisted investigation of CIGS thin-film solar cell degradation using deep learning analysis

A Maoucha, T Berghout, F Djeffal, H Ferhati - Journal of Physics and …, 2024 - Elsevier
The increasing sensitivity of Copper Indium Gallium Selenide (CIGS) thin-film solar cells to
variations in design parameters and degradation effects highlights the necessity for a …