A hybrid technique based on convolutional neural network and support vector regression for intelligent diagnosis of rotating machinery
Rolling element bearings and gears are the most common machine elements. As they are
extensively used in rotating machinery, their health conditions are crucial to the safe …
extensively used in rotating machinery, their health conditions are crucial to the safe …
An intelligent deep feature learning method with improved activation functions for machine fault diagnosis
Rotating machinery has been developed with high complexity and precision, and bearings
and gears are crucial components in the machinery system. Deep learning has attracted …
and gears are crucial components in the machinery system. Deep learning has attracted …
Intelligent fault diagnosis of rotating machinery based on one-dimensional convolutional neural network
C Wu, P Jiang, C Ding, F Feng, T Chen - Computers in Industry, 2019 - Elsevier
Fault diagnosis of rotating machinery plays a significant role in the reliability and safety of
modern industrial systems. The traditional fault diagnosis methods usually need manually …
modern industrial systems. The traditional fault diagnosis methods usually need manually …
Application of rotating machinery fault diagnosis based on deep learning
W Cui, G Meng, A Wang, X Zhang… - Shock and Vibration, 2021 - Wiley Online Library
With the continuous progress of modern industry, rotating machinery is gradually developing
toward complexity and intelligence. The fault diagnosis technology of rotating machinery is …
toward complexity and intelligence. The fault diagnosis technology of rotating machinery is …
An improved deep residual network with multiscale feature fusion for rotating machinery fault diagnosis
F Deng, H Ding, S Yang, R Hao - Measurement Science and …, 2020 - iopscience.iop.org
Intelligent mechanical fault diagnosis algorithms based on deep learning have achieved
considerable success in recent years. However, degradation of the diagnostic accuracy and …
considerable success in recent years. However, degradation of the diagnostic accuracy and …
A review of the application of deep learning in intelligent fault diagnosis of rotating machinery
Z Zhu, Y Lei, G Qi, Y Chai, N Mazur, Y An, X Huang - Measurement, 2023 - Elsevier
With the rapid development of industry, fault diagnosis plays a more and more important role
in maintaining the health of equipment and ensuring the safe operation of equipment. Due to …
in maintaining the health of equipment and ensuring the safe operation of equipment. Due to …
Multi-fault diagnosis of rotating machinery based on deep convolution neural network and support vector machine
Y Xue, D Dou, J Yang - Measurement, 2020 - Elsevier
Because multi-fault vibration signals in rotating machinery are often more complicated than
single faults, human-designed fault feature sets are not yet able to respond adequately to …
single faults, human-designed fault feature sets are not yet able to respond adequately to …
A new local-global deep neural network and its application in rotating machinery fault diagnosis
X Zhao, M Jia - Neurocomputing, 2019 - Elsevier
Currently, it is a great challenge to effectively acquire more widespread equipment health
information for guaranteeing safe production and timely fault maintenance in the process of …
information for guaranteeing safe production and timely fault maintenance in the process of …
Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation
Intelligent machinery fault diagnosis system has been receiving increasing attention recently
due to the potential large benefits of maintenance cost reduction, enhanced operation safety …
due to the potential large benefits of maintenance cost reduction, enhanced operation safety …
Deep-learning method based on 1D convolutional neural network for intelligent fault diagnosis of rotating machines
Fault diagnosis in high-speed machining centers (HSM) is critical in manufacturing systems,
since early detection saves a substantial amount of time and money. It is known that 42% of …
since early detection saves a substantial amount of time and money. It is known that 42% of …