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 …

The entropy algorithm and its variants in the fault diagnosis of rotating machinery: A review

Y Li, X Wang, Z Liu, X Liang, S Si - Ieee Access, 2018 - ieeexplore.ieee.org
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 …

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 …

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 …

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) …

An improved feature extraction method using texture analysis with LBP for bearing fault diagnosis

K Kaplan, Y Kaya, M Kuncan, MR Minaz… - Applied Soft Computing, 2020 - Elsevier
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 …

[HTML][HTML] AI-assistance for predictive maintenance of renewable energy systems

W Shin, J Han, W Rhee - Energy, 2021 - Elsevier
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 …

Early fault detection approach with deep architectures

W Lu, Y Li, Y Cheng, D Meng, B Liang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
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 …

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 …

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 …