Broken bar fault detection and diagnosis techniques for induction motors and drives: State of the art

MEED Atta, DK Ibrahim, MI Gilany - IEEE Access, 2022 - ieeexplore.ieee.org
Motors are the higher energy-conversion devices that consume around 40% of the global
electrical generated energy. Induction motors are the most popular motor type due to their …

[HTML][HTML] A combined HT and ANN based early broken bar fault diagnosis approach for IFOC fed induction motor drive

RS Kumar, IGC Raj, I Alhamrouni, S Saravanan… - Alexandria Engineering …, 2023 - Elsevier
In recent years, fault diagnosis in the Induction Motor Drive (IMD) has been a popular and
important field in the motor-drive research area. The development of control circuits for …

Broken rotor bar fault detection using Hilbert transform and neural networks applied to direct torque control of induction motor drive

SK Ramu, GCR Irudayaraj, S Subramani… - IET Power …, 2020 - Wiley Online Library
This study proposes a new approach for the detection of broken rotor bar (BRB) fault in three
phase induction motor drive using Hilbert transform (HT) and artificial neural networks …

Condition monitoring strategy based on an optimized selection of high-dimensional set of hybrid features to diagnose and detect multiple and combined faults in an …

JJ Saucedo-Dorantes, AY Jaen-Cuellar… - Measurement, 2021 - Elsevier
The development of novel condition monitoring strategies represents a critical challenge to
ensure the effectiveness and reliability of complex industrial processes. Indeed, the …

A histogram of oriented gradients approach for detecting broken bars in squirrel-cage induction motors

CG Dias, LC da Silva, WAL Alves - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article presents a novel approach for detecting broken rotor bars in squirrel-cage
induction motors, using a time-domain current analysis. More particularly, this solution …

Rotor Bar Fault Diagnosis in Indirect Field–Oriented Control-Fed Induction Motor Drive Using Hilbert Transform, Discrete Wavelet Transform, and Energy Eigenvalue …

SK Ramu, I Vairavasundaram, B Aljafari, T Kareri - Machines, 2023 - mdpi.com
The most powerful technology in the condition-based maintenance (CBM) framework for
rotating machinery is fault detection (FD) and fault diagnosis (FDS). This paper investigates …

Diagnosis of broken bars in V/F control induction motor drive using wavelets and EEV estimation for electric vehicle applications

SK Ramu, GCR Irudayaraj, G Devarajan… - … on Electrical Energy …, 2022 - Wiley Online Library
The induction motor (IM) defect diagnosis has been an important field of research in recent
years. The development in control circuits for IM has piqued the interest of industrialists and …

A method for broken rotor bars diagnosis based on sum-of-squares of current signals

J Chen, N Hu, L Zhang, L Chen, B Wang, Y Zhou - Applied Sciences, 2020 - mdpi.com
Induction motors are mainstay power components in industrial equipment. Fault diagnosis
technology of induction motors can detect the incipient fault and avoid the unplanned …

Improved Diagnostic Approach for BRB Detection and Classification in Inverter-Driven Induction Motors Employing Sparse Stacked Autoencoder (SSAE) and …

MA Khan, B Asad, T Vaimann, A Kallaste - Electronics, 2024 - mdpi.com
This study introduces an innovative approach to diagnostics, employing a unique
combination of techniques including a stratified group K-fold cross-validation method and a …

Broken rotor bar fault detection using DWT and energy eigenvalue for DTC fed induction motor drive

R Senthil Kumar… - International Journal of …, 2021 - Taylor & Francis
The faults diagnosis of Induction Motor (IM) is a required field of the research area grown in
recent years. Industrialists and researchers predominately use this interest as a result of …