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A review of vibration-based gear wear monitoring and prediction techniques
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 …
many industrial applications, including wind turbines, vehicles, mining and material handling …
A review on vibration-based condition monitoring of rotating machinery
Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal
functioning states are related to specific patterns that can be extracted from vibration signals …
functioning states are related to specific patterns that can be extracted from vibration signals …
Vibration analysis for machine monitoring and diagnosis: A systematic review
Untimely machinery breakdown will incur significant losses, especially to the manufacturing
company as it affects the production rates. During operation, machines generate vibrations …
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 …
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
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' …
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
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 …
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 …
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 …
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 …
consequential damage, and improving operational efficiency. Model-based methods are …
An improved multiple signal classification for nonuniform sampling in blade tip timing
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 …
health monitoring. However, due to the mismatching between the high-speed rotation and …