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 …
Applications of machine learning to machine fault diagnosis: A review and roadmap
Intelligent fault diagnosis (IFD) refers to applications of machine learning theories to
machine fault diagnosis. This is a promising way to release the contribution from human …
machine fault diagnosis. This is a promising way to release the contribution from human …
Digital twin-driven intelligent assessment of gear surface degradation
Gearbox has a compact structure, a stable transmission capability, and a high transmission
efficiency. Thus, it is widely applied as a power transmission system in various applications …
efficiency. Thus, it is widely applied as a power transmission system in various applications …
Modified stacked autoencoder using adaptive Morlet wavelet for intelligent fault diagnosis of rotating machinery
Intelligent fault diagnosis techniques play an important role in improving the abilities of
automated monitoring, inference, and decision making for the repair and maintenance of …
automated monitoring, inference, and decision making for the repair and maintenance of …
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 …
Deep branch attention network and extreme multi-scale entropy based single vibration signal-driven variable speed fault diagnosis scheme for rolling bearing
D Zhao, S Liu, H Du, L Wang, Z Miao - Advanced Engineering Informatics, 2023 - Elsevier
In view of the difficulty in measuring the speed signal and integrating the vibration and
speed information flexibly in actual variable speed bearing fault diagnosis, a single vibration …
speed information flexibly in actual variable speed bearing fault diagnosis, a single vibration …
Modified multiscale weighted permutation entropy and optimized support vector machine method for rolling bearing fault diagnosis with complex signals
Z Wang, L Yao, G Chen, J Ding - ISA transactions, 2021 - Elsevier
The rolling bearing vibration signals are complex, non-linear, and non-stationary, it is difficult
to extract the sensitive features and diagnose faults by conventional signal processing …
to extract the sensitive features and diagnose faults by conventional signal processing …
A novel order spectrum-based Vold-Kalman filter bandwidth selection scheme for fault diagnosis of gearbox in offshore wind turbines
Vold-Kalman order tracking filter is an effective technique for dealing with non-stationary
vibrations which offshore wind turbines often encounter. It has a unique capability to extract …
vibrations which offshore wind turbines often encounter. It has a unique capability to extract …
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) …
A novel adaptive bandwidth selection method for Vold–Kalman filtering and its application in wind turbine planetary gearbox diagnostics
The planetary gearbox transmission system in wind turbines has complex structures and
generally operates under non-stationary conditions. Thus its measured responses are of …
generally operates under non-stationary conditions. Thus its measured responses are of …