The bearing faults detection methods for electrical machines—the state of the art

MA Khan, B Asad, K Kudelina, T Vaimann, A Kallaste - Energies, 2022 - mdpi.com
Electrical machines are prone to faults and failures and demand incessant monitoring for
their confined and reliable operations. A failure in electrical machines may cause …

[HTML][HTML] Sources of vibration and their treatment in hydro power stations-A review

RK Mohanta, TR Chelliah, S Allamsetty, A Akula… - … science and Technology …, 2017 - Elsevier
Vibration condition monitoring (VCM) enhances the performance of Hydro Generating
Equipment (HGE) by minimizing the damage and break down chances, so that equipment …

Models for bearing damage detection in induction motors using stator current monitoring

M Blodt, P Granjon, B Raison… - IEEE transactions on …, 2008 - ieeexplore.ieee.org
This paper describes a new analytical model for the influence of rolling-element bearing
faults on induction motor stator current. Bearing problems are one major cause for drive …

Review of automatic fault diagnosis systems using audio and vibration signals

P Henriquez, JB Alonso, MA Ferrer… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
The objective of this paper is to provide a review of recent advances in automatic vibration-
and audio-based fault diagnosis in machinery using condition monitoring strategies. It …

Demagnetization fault diagnosis in permanent magnet synchronous motors: A review of the state-of-the-art

SS Moosavi, A Djerdir, YA Amirat… - Journal of magnetism and …, 2015 - Elsevier
There are a lot of research activities on develo** techniques to detect permanent magnet
(PM) demagnetization faults (DF). These faults decrease the performance, the reliability and …

A review of the monitoring and dam** unbalanced magnetic pull in induction machines due to rotor eccentricity

AA Salah, DG Dorrell, Y Guo - IEEE Transactions on Industry …, 2019 - ieeexplore.ieee.org
Condition monitoring can diagnose the inception of fault mechanisms in induction motors,
thus avoiding failure and expensive repairs. Therefore, there is a strong need to develop an …

Health monitoring, fault diagnosis and failure prognosis techniques for Brushless Permanent Magnet Machines

Y Da, X Shi, M Krishnamurthy - 2011 IEEE vehicle power and …, 2011 - ieeexplore.ieee.org
Over the past few years, many researchers have been attracted by the challenges of
electrical machines' fault diagnosis and condition monitoring, which provide early warnings …

A synchronization-induced cross-modal contrastive learning strategy for fault diagnosis of electromechanical systems under semi-supervised learning with current …

Q Luo, J Chen, Y Zi, J **e - Expert Systems with Applications, 2024 - Elsevier
Electromechanical systems is widely employed in the manufacturing industry, with fault
diagnosis being critical for ensuring the reliable operation of them. Vibration signals exhibit …

Multi-Power System Electrical Source Fault Review

M Hadj Salem, K Mansouri, E Chauveau, Y Ben Salem… - Energies, 2024 - mdpi.com
The phrase “Multi-Power System (MPS)” refers to an application that combines different
energy conversion technologies to meet a specific energy need. These integrated power …

Machine learning-based fault detection and diagnosis of faulty power connections of induction machines

D Gonzalez-Jimenez, J del-Olmo, J Poza, F Garramiola… - Energies, 2021 - mdpi.com
Induction machines have been key components in the industrial sector for decades, owing to
different characteristics such as their simplicity, robustness, high energy efficiency and …