Bearing Fault Diagnosis for an Induction Motor Controlled by an Artificial Neural Network—Direct Torque Control Using the Hilbert Transform

Bearing Fault Diagnosis for an Induction Motor Controlled by an Artificial Neural Network—Direct Torque Control Using the Hilbert Transform

Motor Current Signature Analysis (MCSA) is a popular method for the detection of faults in electric motor drives, particularly in Induction Machines (IMs). For Bearing Defects (BDs), which are very much related to the rotational frequency, it is important to maintain the speed at a target reference...

Full description

Bibliographic Details
Main Authors: Abderrahman El Idrissi, Aziz Derouich, Said Mahfoud, Najib El Ouanjli, Ahmed Chantoufi, Ameena Saad Al-Sumaiti, Mahmoud A. Mossa
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Mathematics
Subjects:
IM
MCSA
BD
HT
ANN-DTC
Online Access:https://www.mdpi.com/2227-7390/10/22/4258

Similar Items

Similar Items