Role of artificial intelligence in rotor fault diagnosis: A comprehensive review
Artificial intelligence (AI)-based rotor fault diagnosis (RFD) poses a variety of challenges to
the prognostics and health management (PHM) of the Industry 4.0 revolution. Rotor faults …
the prognostics and health management (PHM) of the Industry 4.0 revolution. Rotor faults …
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 …
Highly efficient fault diagnosis of rotating machinery under time-varying speeds using LSISMM and small infrared thermal images
The existing fault diagnosis methods of rotating machinery constructed with both shallow
learning and deep learning models are mostly based on vibration analysis under steady …
learning and deep learning models are mostly based on vibration analysis under steady …
Convolutional neural network based bearing fault diagnosis of rotating machine using thermal images
The bearings are the crucial components of rotating machines in an industrial firm.
Unplanned failure of these components not only increases the downtime, but also leads to …
Unplanned failure of these components not only increases the downtime, but also leads to …
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 …
call for effective diagnosis of bearing faults for reliable operation. Infrared thermography …
Convolutional neural network based fault detection for rotating machinery
O Janssens, V Slavkovikj, B Vervisch… - Journal of Sound and …, 2016 - Elsevier
Vibration analysis is a well-established technique for condition monitoring of rotating
machines as the vibration patterns differ depending on the fault or machine condition …
machines as the vibration patterns differ depending on the fault or machine condition …
Fault diagnosis of single-phase induction motor based on acoustic signals
A Glowacz - Mechanical Systems and Signal Processing, 2019 - Elsevier
The paper presents description of bearing, stator and rotor fault diagnostic methods of a
single-phase induction motor. The presented methods use acoustic signals. Five states of …
single-phase induction motor. The presented methods use acoustic signals. Five states of …
A fusion CWSMM-based framework for rotating machinery fault diagnosis under strong interference and imbalanced case
Vibration signals and infrared images have different advantages and characteristics.
Although a few recent researches have explored their information fusion in rotating …
Although a few recent researches have explored their information fusion in rotating …
Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals
A Glowacz, W Glowacz, Z Glowacz, J Kozik - Measurement, 2018 - Elsevier
An article describes an early fault diagnostic technique based on acoustic signals. The
presented technique was used for a single-phase induction motor. The authors measured …
presented technique was used for a single-phase induction motor. The authors measured …
[HTML][HTML] Rotating machinery fault diagnosis based on convolutional neural network and infrared thermal imaging
LI Yongbo, DU Xiaoqiang, WAN Fangyi… - Chinese Journal of …, 2020 - Elsevier
Rotating machinery is widely applied in industrial applications. Fault diagnosis of rotating
machinery is vital in manufacturing system, which can prevent catastrophic failure and …
machinery is vital in manufacturing system, which can prevent catastrophic failure and …