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 …

Review of vibration-based structural health monitoring using deep learning

G Toh, J Park - Applied Sciences, 2020 - mdpi.com
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 …

[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 …

Detection of bearing faults in mechanical systems using stator current monitoring

S Singh, N Kumar - IEEE Transactions on Industrial Informatics, 2016 - ieeexplore.ieee.org
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 …

Machine learning based condition monitoring for gear transmission systems using data generated by optimal multibody dynamics models

J Koutsoupakis, P Seventekidis… - Mechanical Systems and …, 2023 - Elsevier
Condition monitoring (CM) of mechanical systems such as gear transmissions can be
performed with vibration measurements and processing of the recorded signals for …

Articulated part-based model for joint object detection and pose estimation

M Sun, S Savarese - 2011 International Conference on …, 2011 - ieeexplore.ieee.org
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 …

Review of condition monitoring and fault diagnosis technologies for wind turbine gearbox

M Nie, L Wang - Procedia Cirp, 2013 - Elsevier
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 …

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 …

Structural health monitoring in aviation: a comprehensive review and future directions for machine learning

F Kosova, Ö Altay, HÖ Ünver - Nondestructive testing and …, 2025 - Taylor & Francis
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 …

Electromechanical modeling of a motor–gearbox system for local gear tooth faults detection

B El Yousfi, A Soualhi, K Medjaher, F Guillet - Mechanical Systems and …, 2022 - Elsevier
Many of today's industrial applications are powered by electromechanical drives. Wind
turbines, fuel based and hydroelectric generators or electric drivetrains are examples of …