Condition monitoring and fault diagnosis of induction motors: A review
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 …
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
Corrosion is considered a destructive phenomenon that affects almost all metals. There is a
variety of corrosion monitoring and measurement techniques being deployed across …
variety of corrosion monitoring and measurement techniques being deployed across …
Infrared thermography-based fault diagnosis of induction motor bearings using machine learning
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 …
call for effective diagnosis of bearing faults for reliable operation. Infrared thermography …
Condition monitoring and fault diagnosis of induction motor
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 …
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
Condition monitoring, fault diagnosis, and scheduled maintenance of wind turbines (WTs)
are becoming a necessity to maximize their economic benefits and reduce their downtime …
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
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 …
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 …
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
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 …
mechanical faults during operation can lead to severe consequences. For fault prevention …
Thermal image based fault diagnosis for rotating machinery
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 …
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 …
phase induction motors based on thermal images. If these faults are not detected or fixed on …