A review of vibration-based gear wear monitoring and prediction techniques

K Feng, JC Ji, Q Ni, M Beer - Mechanical Systems and Signal Processing, 2023 - Elsevier
Gearbox plays a vital role in a wide range of mechanical power transmission systems in
many industrial applications, including wind turbines, vehicles, mining and material handling …

A review on vibration-based condition monitoring of rotating machinery

M Tiboni, C Remino, R Bussola, C Amici - Applied Sciences, 2022 - mdpi.com
Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal
functioning states are related to specific patterns that can be extracted from vibration signals …

Vibration analysis for machine monitoring and diagnosis: A systematic review

MH Mohd Ghazali, W Rahiman - Shock and Vibration, 2021 - Wiley Online Library
Untimely machinery breakdown will incur significant losses, especially to the manufacturing
company as it affects the production rates. During operation, machines generate vibrations …

Artificial intelligence-based technique for fault detection and diagnosis of EV motors: A review

W Lang, Y Hu, C Gong, X Zhang, H Xu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The motor drive system plays a significant role in the safety of electric vehicles as a bridge
for power transmission. Meanwhile, to enhance the efficiency and stability of the drive …

A sco** review on multi-fault diagnosis of industrial rotating machines using multi-sensor data fusion

S Gawde, S Patil, S Kumar, K Kotecha - Artificial Intelligence Review, 2023 - Springer
Rotating machines is an essential part of any manufacturing industry. The sudden
breakdown of such machines due to improper maintenance can also lead to the industries' …

Explainable predictive maintenance of rotating machines using lime, shap, pdp, ice

S Gawde, S Patil, S Kumar, P Kamat, K Kotecha… - IEEE …, 2024 - ieeexplore.ieee.org
Artificial Intelligence (AI) is a key component in Industry 4.0. Rotating machines are critical
components in manufacturing industries. In the vast world of Industry 4.0, where an IoT …

Rolling bearing fault diagnosis method based on attention CNN and BiLSTM network

Y Guo, J Mao, M Zhao - Neural processing letters, 2023 - Springer
To solve the problems that existing bearing fault diagnosis methods cannot adaptively select
features and are difficult to deal with noise interference, an end-to-end fault diagnosis …

A review and comparison of fault detection and diagnosis methods for squirrel-cage induction motors: State of the art

Y Liu, AM Bazzi - ISA transactions, 2017 - Elsevier
Preventing induction motors (IMs) from failure and shutdown is important to maintain
functionality of many critical loads in industry and commerce. This paper provides a …

Induction machine condition monitoring using neural network modeling

H Su, KT Chong - IEEE Transactions on Industrial Electronics, 2007 - ieeexplore.ieee.org
Condition monitoring is desirable for increasing machinery availability, reducing
consequential damage, and improving operational efficiency. Model-based methods are …

An improved multiple signal classification for nonuniform sampling in blade tip timing

Z Wang, Z Yang, S Wu, H Li, S Tian… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Blade tip timing (BTT) is an effective noncontact measurement technology for rotating blade
health monitoring. However, due to the mismatching between the high-speed rotation and …