A comparative study of deep learning efficiency in the classification of electrical faults of permanent magnet synchronous motor
H Ziad, AQ Al-Dujaili, AJ Humaidi - International Review of Applied …, 2024 - akjournals.com
Abstract Permanent Magnet Synchronous Motors (PMSMs) are widely used in modern
industrial applications due to their high efficiency, reliability, and compact size. However …
industrial applications due to their high efficiency, reliability, and compact size. However …
The Classification Method of Electrical Faults in Permanent Magnet Synchronous Motor Based on Deep Learning
HZ Faraj, AQ AL-Dujaili… - 2023 IEEE 11th …, 2023 - ieeexplore.ieee.org
An accurate classification method is highly required in the development of a fault detection
system. Various deep-learning techniques have recently been used for fault classification …
system. Various deep-learning techniques have recently been used for fault classification …
[PDF][PDF] Simulation and Analysis of the OFDM Transceiver Based Commutation System
A Munadel - Journal of Engineering, 2020 - iasj.net
As a result of the increase in wireless applications, this led to a spectrum problem, which
was often a significant restriction. However, a wide bandwidth (more than twothirds of the …
was often a significant restriction. However, a wide bandwidth (more than twothirds of the …
Implementation of a cognitive radio based on neural networks by computer simulation
VSA Al-Akraa - 2022 - openaccess.altinbas.edu.tr
Spectrum needs has become a more pressing issue due to the increasing rise of cellular
communications. In addition, as the number of multimedia and brief messages has risen, the …
communications. In addition, as the number of multimedia and brief messages has risen, the …