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 …
The entropy algorithm and its variants in the fault diagnosis of rotating machinery: A review
Rotating machines have been widely used in industrial engineering. The fault diagnosis of
rotating machines plays a vital important role to reduce the catastrophic failures and heavy …
rotating machines plays a vital important role to reduce the catastrophic failures and heavy …
Fault diagnosis of flywheel bearing based on parameter optimization variational mode decomposition energy entropy and deep learning
D He, C Liu, Z Jin, R Ma, Y Chen, S Shan - Energy, 2022 - Elsevier
Flywheel energy storage system is widely used in train braking energy recovery, and has
achieved excellent energy-saving effect. As a key component of the flywheel energy storage …
achieved excellent energy-saving effect. As a key component of the flywheel energy storage …
Renewable energy and energy storage systems
AG Olabi - Energy, 2017 - Elsevier
With the increase of the production of power/energy from renewables it becomes much
important to look at methods and techniques to store this energy. In principle, the renewable …
important to look at methods and techniques to store this energy. In principle, the renewable …
A review of early fault diagnosis approaches and their applications in rotating machinery
Y Wei, Y Li, M Xu, W Huang - Entropy, 2019 - mdpi.com
Rotating machinery is widely applied in various types of industrial applications. As a
promising field for reliability of modern industrial systems, early fault diagnosis (EFD) …
promising field for reliability of modern industrial systems, early fault diagnosis (EFD) …
An improved feature extraction method using texture analysis with LBP for bearing fault diagnosis
Bearings are one of the most widespread components used for energy transformation in
machines. Mechanical wear and faulty bearings reduce the efficiency of rotating machines …
machines. Mechanical wear and faulty bearings reduce the efficiency of rotating machines …
[HTML][HTML] AI-assistance for predictive maintenance of renewable energy systems
Although promising results of high-performance AI algorithms have been reported in recent
predictive maintenance researches, most of the existing studies merely deal with AI-only …
predictive maintenance researches, most of the existing studies merely deal with AI-only …
Early fault detection approach with deep architectures
Early fault detection technique is crucial to reduce the machine downtime and has high
impact on a wide variety of industrial applications. However, early fault detection is still …
impact on a wide variety of industrial applications. However, early fault detection is still …
An intelligent approach for bearing fault diagnosis: combination of 1D-LBP and GRA
M Kuncan - Ieee Access, 2020 - ieeexplore.ieee.org
Bearings are vital automation machine elements that are used quite frequently for power
transmission and shaft bearing in rotating machines. The healthy operation of the bearings …
transmission and shaft bearing in rotating machines. The healthy operation of the bearings …
Application of multiscale learning neural network based on CNN in bearing fault diagnosis
D Wang, Q Guo, Y Song, S Gao, Y Li - Journal of Signal Processing …, 2019 - Springer
With the application of intelligent manufacturing becoming more and more widely, the losses
caused by mechanical faults of equipment increase. Identifying and troubleshooting faults in …
caused by mechanical faults of equipment increase. Identifying and troubleshooting faults in …