Complex-valued neural networks: A comprehensive survey
Complex-valued neural networks (CVNNs) have shown their excellent efficiency compared
to their real counter-parts in speech enhancement, image and signal processing …
to their real counter-parts in speech enhancement, image and signal processing …
A comprehensive review on convolutional neural network in machine fault diagnosis
With the rapid development of manufacturing industry, machine fault diagnosis has become
increasingly significant to ensure safe equipment operation and production. Consequently …
increasingly significant to ensure safe equipment operation and production. Consequently …
A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings
Remaining useful life (RUL) prediction has been a hotspot in the engineering field, which is
useful to avoid unexpected breakdowns and reduce maintenance costs of the system. Due …
useful to avoid unexpected breakdowns and reduce maintenance costs of the system. Due …
A review on deep learning in machining and tool monitoring: Methods, opportunities, and challenges
V Nasir, F Sassani - The International Journal of Advanced Manufacturing …, 2021 - Springer
Data-driven methods provided smart manufacturing with unprecedented opportunities to
facilitate the transition toward Industry 4.0–based production. Machine learning and deep …
facilitate the transition toward Industry 4.0–based production. Machine learning and deep …
A survey of transfer learning for machinery diagnostics and prognostics
In industrial manufacturing systems, failures of machines caused by faults in their key
components greatly influence operational safety and system reliability. Many data-driven …
components greatly influence operational safety and system reliability. Many data-driven …
Machine vision based condition monitoring and fault diagnosis of machine tools using information from machined surface texture: A review
Abstract Machine vision based condition monitoring and fault diagnosis of machine tools
(MVCMFD-MTs) is a vital technique of condition-based maintenance (CBM) in both metal …
(MVCMFD-MTs) is a vital technique of condition-based maintenance (CBM) in both metal …
A review of artificial intelligence methods for condition monitoring and fault diagnosis of rolling element bearings for induction motor
The fault detection and diagnosis (FDD) along with condition monitoring (CM) and of rotating
machinery (RM) have critical importance for early diagnosis to prevent severe damage of …
machinery (RM) have critical importance for early diagnosis to prevent severe damage of …
Application of recurrent neural network to mechanical fault diagnosis: A review
J Zhu, Q Jiang, Y Shen, C Qian, F Xu, Q Zhu - Journal of Mechanical …, 2022 - Springer
With the development of intelligent manufacturing and automation, the precision and
complexity of mechanical equipment are increasing, which leads to a higher requirement for …
complexity of mechanical equipment are increasing, which leads to a higher requirement for …
Probing an intelligent predictive maintenance approach with deep learning and augmented reality for machine tools in IoT-enabled manufacturing
C Liu, H Zhu, D Tang, Q Nie, T Zhou, L Wang… - Robotics and Computer …, 2022 - Elsevier
Abstract In the Industry 4.0 era, the number and complexity of machine tools are both
increased, which is prone to cause malfunctions and downtime in the manufacturing …
increased, which is prone to cause malfunctions and downtime in the manufacturing …
Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study
O AlShorman, F Alkahatni, M Masadeh… - Advances in …, 2021 - journals.sagepub.com
Nowadays, condition-based maintenance (CBM) and fault diagnosis (FD) of rotating
machinery (RM) has a vital role in the modern industrial world. However, the remaining …
machinery (RM) has a vital role in the modern industrial world. However, the remaining …