Condition monitoring and fault diagnosis of induction motors: A review

A Choudhary, D Goyal, SL Shimi, A Akula - Archives of Computational …, 2019 - Springer
There is a constant call for reduction of operational and maintenance costs of induction
motors (IMs). These costs can be significantly reduced if the health of the system is …

An overview of corrosion defect characterization using active infrared thermography

S Doshvarpassand, C Wu, X Wang - Infrared physics & technology, 2019 - Elsevier
Corrosion is considered a destructive phenomenon that affects almost all metals. There is a
variety of corrosion monitoring and measurement techniques being deployed across …

Infrared thermography-based fault diagnosis of induction motor bearings using machine learning

A Choudhary, D Goyal, SS Letha - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Bearing is one of the most crucial parts in induction motor (IM) as a result there is a constant
call for effective diagnosis of bearing faults for reliable operation. Infrared thermography …

Condition monitoring and fault diagnosis of induction motor

SK Gundewar, PV Kane - Journal of Vibration Engineering & Technologies, 2021 - Springer
Background An induction motor is at the heart of every rotating machine and hence it is a
very vital component. Almost in every industry, around 90% of the machines apply an …

CAD system for inter-turn fault diagnosis of offshore wind turbines via multi-CNNs & feature selection

O Attallah, RA Ibrahim, NE Zakzouk - Renewable Energy, 2023 - Elsevier
Condition monitoring, fault diagnosis, and scheduled maintenance of wind turbines (WTs)
are becoming a necessity to maximize their economic benefits and reduce their downtime …

Passive thermography based bearing fault diagnosis using transfer learning with varying working conditions

A Choudhary, T Mian, S Fatima… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Bearing is one of the core components of any rotating machine, and its failure is widespread.
This reason drives continuous monitoring and detecting bearing faults during machine …

A review of infrared thermography for condition-based monitoring in electrical energy: Applications and recommendations

GK Balakrishnan, CT Yaw, SP Koh, T Abedin, AA Raj… - Energies, 2022 - mdpi.com
Condition-based monitoring (CBM) has emerged as a critical instrument for lowering the
cost of unplanned operations while also improving the efficacy, execution, and dependability …

A rotating machinery fault diagnosis method based on feature learning of thermal images

Z Jia, Z Liu, CM Vong, M Pecht - Ieee Access, 2019 - ieeexplore.ieee.org
The rotating machinery plays a vital role in industrial systems, in which unexpected
mechanical faults during operation can lead to severe consequences. For fault prevention …

Thermal image based fault diagnosis for rotating machinery

O Janssens, R Schulz, V Slavkovikj, K Stockman… - Infrared Physics & …, 2015 - Elsevier
Infrared imaging is crucial for condition monitoring as the thermographic patterns will differ
depending on the fault or machine condition. Currently, a limited number of machine faults …

Electrical fault detection in three-phase induction motor using deep network-based features of thermograms

M Khanjani, M Ezoji - Measurement, 2021 - Elsevier
In this paper, an automatic method is proposed for detecting the operating faults in three-
phase induction motors based on thermal images. If these faults are not detected or fixed on …