An application of fuzzy fault tree analysis for reliability evaluation of wind energy system
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 …
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
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 …
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
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 …
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
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 …
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
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 …
(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
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 …
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
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 …
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 …
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
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 …
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
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 …
variations in design parameters and degradation effects highlights the necessity for a …