A survey on deep learning based bearing fault diagnosis
DT Hoang, HJ Kang - Neurocomputing, 2019 - Elsevier
Abstract Nowadays, Deep Learning is the most attractive research trend in the area of
Machine Learning. With the ability of learning features from raw data by deep architectures …
Machine Learning. With the ability of learning features from raw data by deep architectures …
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 …
Rolling element bearing fault diagnosis using convolutional neural network and vibration image
DT Hoang, HJ Kang - Cognitive Systems Research, 2019 - Elsevier
Detecting in prior bearing faults is an essential task of machine health monitoring because
bearings are the vital components of rotary machines. The performance of traditional …
bearings are the vital components of rotary machines. The performance of traditional …
A motor current signal-based bearing fault diagnosis using deep learning and information fusion
DT Hoang, HJ Kang - IEEE Transactions on Instrumentation …, 2019 - ieeexplore.ieee.org
Bearing fault diagnosis has extensively exploited vibration signals (VSs) because of their
rich information about bearing health conditions. However, this approach is expensive …
rich information about bearing health conditions. However, this approach is expensive …
Review of machine learning based fault detection for centrifugal pump induction motors
CE Sunal, V Dyo, V Velisavljevic - IEEE access, 2022 - ieeexplore.ieee.org
Centrifugal pumps are an integral part of many industrial processes and are used
extensively in water supply, sewage, heating and cooling systems. While there are several …
extensively in water supply, sewage, heating and cooling systems. While there are several …
A review of diagnostics and prognostics of low-speed machinery towards wind turbine farm-level health management
Large wind farms are gaining prominence due to increasing dependence on renewable
energy. In order to operate these wind farms reliably and efficiently, advanced maintenance …
energy. In order to operate these wind farms reliably and efficiently, advanced maintenance …
Detection of bearing faults in mechanical systems using stator current monitoring
Induction motors have been responsible for running mechanical systems in the industry for
many decades. Their diagnosis still remains a hot quest for the researchers using various …
many decades. Their diagnosis still remains a hot quest for the researchers using various …
Prediction of compressive strength and portland cement composition using cross-validation and feature ranking techniques
V Vakharia, R Gujar - Construction and Building Materials, 2019 - Elsevier
Prediction of compressive strength and concrete composition using machine learning
models is an essential feature in civil engineering applications. In the present paper, a …
models is an essential feature in civil engineering applications. In the present paper, a …
Bayesian convolutional neural networks for remaining useful life prognostics of solenoid valves with uncertainty estimations
G Mazaev, G Crevecoeur… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Solenoid valves (SV) are essential components of industrial systems and therefore widely
used. As they suffer from high failure rates in the field, fault prognosis of these assets plays a …
used. As they suffer from high failure rates in the field, fault prognosis of these assets plays a …
Condition monitoring and fault diagnosis of induction motor using DWT and ANN
This paper presents an efficient approach to estimate the failures of various components in
an induction motor using motor current signature analysis. Conventional sensor-based fault …
an induction motor using motor current signature analysis. Conventional sensor-based fault …