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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 …
Review of vibration-based structural health monitoring using deep learning
With the rapid progress in the deep learning technology, it is being used for vibration-based
structural health monitoring. When the vibration is used for extracting features for system …
structural health monitoring. When the vibration is used for extracting features for system …
[HTML][HTML] Bearing fault classification of induction motors using discrete wavelet transform and ensemble machine learning algorithms
R Nishat Toma, JM Kim - Applied Sciences, 2020 - mdpi.com
Bearing fault diagnosis at early stage is very significant to ensure seamless operation of
induction motors in industrial environment. The identification and classification of faults …
induction motors in industrial environment. The identification and classification of faults …
Detection of bearing faults in mechanical systems using stator current monitoring
Induction motors have been responsible for running mechanical systems in the industry for
many decades. Their diagnosis still remains a hot quest for the researchers using various …
many decades. Their diagnosis still remains a hot quest for the researchers using various …
Machine learning based condition monitoring for gear transmission systems using data generated by optimal multibody dynamics models
Condition monitoring (CM) of mechanical systems such as gear transmissions can be
performed with vibration measurements and processing of the recorded signals for …
performed with vibration measurements and processing of the recorded signals for …
Articulated part-based model for joint object detection and pose estimation
Despite recent successes, pose estimators are still somewhat fragile, and they frequently
rely on a precise knowledge of the location of the object. Unfortunately, articulated objects …
rely on a precise knowledge of the location of the object. Unfortunately, articulated objects …
Review of condition monitoring and fault diagnosis technologies for wind turbine gearbox
In order to develop robust condition monitoring and prognosis technologies and systems for
wind turbine gearboxes, a comprehensive review of the state-of-art of condition monitoring …
wind turbine gearboxes, a comprehensive review of the state-of-art of condition monitoring …
A novel fault diagnosis model for gearbox based on wavelet support vector machine with immune genetic algorithm
F Chen, B Tang, R Chen - Measurement, 2013 - Elsevier
A novel intelligent diagnosis model based on wavelet support vector machine (WSVM) and
immune genetic algorithm (IGA) for gearbox fault diagnosis is proposed. Wavelet support …
immune genetic algorithm (IGA) for gearbox fault diagnosis is proposed. Wavelet support …
Structural health monitoring in aviation: a comprehensive review and future directions for machine learning
Aircraft structures are exposed to a variety of operational and environmental loads that can
cause structural deformation and fractures. Structural Health Monitoring (SHM) has emerged …
cause structural deformation and fractures. Structural Health Monitoring (SHM) has emerged …
Electromechanical modeling of a motor–gearbox system for local gear tooth faults detection
Many of today's industrial applications are powered by electromechanical drives. Wind
turbines, fuel based and hydroelectric generators or electric drivetrains are examples of …
turbines, fuel based and hydroelectric generators or electric drivetrains are examples of …