Variable speed induction motors' fault detection based on transient motor current signatures analysis: A review

MF Yakhni, S Cauet, A Sakout, H Assoum… - … Systems and Signal …, 2023 - Elsevier
Induction motor is a major component in the industrial sector. It is experiencing great
development concerning size, market share, and technological design. Any sudden failure …

Demagnetization modeling and fault diagnosing techniques in permanent magnet machines under stationary and nonstationary conditions: An overview

J Faiz, E Mazaheri-Tehrani - IEEE Transactions on Industry …, 2016 - ieeexplore.ieee.org
Permanent magnet (PM) machines are widely used in industrial processes due to their
merits such as high power density and torque and low losses (high efficiency). These …

Fluid-induced vibration evolution mechanism of multiphase free sink vortex and the multi-source vibration sensing method

L Li, W Xu, Y Tan, Y Yang, J Yang, D Tan - Mechanical systems and signal …, 2023 - Elsevier
The multiphase free sink vortex (MFSV) has frequently appeared in practical industry
processes, including the refinement of steel stream, hydroelectric energy conversion of the …

Multi-field coupling vibration patterns of the multiphase sink vortex and distortion recognition method

L Li, P Xu, W Xu, B Lu, C Wang, D Tan - Mechanical Systems and Signal …, 2024 - Elsevier
Fluid-induced vibration sensing technology plays an essential role in the safety and stable
operation of fluid control equipment. The sensing works oriented to the multiphase sink …

Bearing fault diagnosis of induction motors using a genetic algorithm and machine learning classifiers

RN Toma, AE Prosvirin, JM Kim - Sensors, 2020 - mdpi.com
Efficient fault diagnosis of electrical and mechanical anomalies in induction motors (IMs) is
challenging but necessary to ensure safety and economical operation in industries …

Convolutional discriminative feature learning for induction motor fault diagnosis

W Sun, R Zhao, R Yan, S Shao… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
A convolutional discriminative feature learning method is presented for induction motor fault
diagnosis. The approach firstly utilizes back-propagation (BP)-based neural network to learn …

Detection of localized bearing faults in induction machines by spectral kurtosis and envelope analysis of stator current

VCMN Leite, JGB da Silva, GFC Veloso… - IEEE Transactions …, 2014 - ieeexplore.ieee.org
Early detection of faults in electrical machines, particularly in induction motors, has become
necessary and critical in reducing costs by avoiding unexpected and unnecessary …

Interturn fault diagnosis for model-predictive-controlled-PMSM based on cost function and wavelet transform

J Hang, J Zhang, M **a, S Ding… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Interturn fault (ITF) is a common fault for permanent magnet synchronous machine (PMSM).
If the ITF is not detected in time, its propagation may result in the secondary damage, even …

Detection and diagnosis of faults in induction motor using an improved artificial ant clustering technique

A Soualhi, G Clerc, H Razik - IEEE Transactions on Industrial …, 2012 - ieeexplore.ieee.org
The presence of electrical and mechanical faults in the induction motors (IMs) can be
detected by analysis of the stator current spectrum. However, when an IM is fed by a …

A review and comparison of fault detection and diagnosis methods for squirrel-cage induction motors: State of the art

Y Liu, AM Bazzi - ISA transactions, 2017 - Elsevier
Preventing induction motors (IMs) from failure and shutdown is important to maintain
functionality of many critical loads in industry and commerce. This paper provides a …