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 …

Dynamic modeling of gearbox faults: A review

X Liang, MJ Zuo, Z Feng - Mechanical Systems and Signal Processing, 2018 - Elsevier
Gearbox is widely used in industrial and military applications. Due to high service load,
harsh operating conditions or inevitable fatigue, faults may develop in gears. If the gear …

Machinery fault diagnosis with imbalanced data using deep generative adversarial networks

W Zhang, X Li, XD Jia, H Ma, Z Luo, X Li - Measurement, 2020 - Elsevier
Despite the recent advances of intelligent data-driven fault diagnosis methods on rotating
machines, balanced training data for different machine health conditions are assumed in …

Diagnosing rotating machines with weakly supervised data using deep transfer learning

X Li, W Zhang, Q Ding, X Li - IEEE transactions on industrial …, 2019 - ieeexplore.ieee.org
Rotating machinery fault diagnosis problems have been well-addressed when sufficient
supervised data of the tested machine are available using the latest data-driven methods …

A dynamic modelling method of a rotor-roller bearing-housing system with a localized fault including the additional excitation zone

J Liu - Journal of Sound and Vibration, 2020 - Elsevier
Rotor-roller bearing-housing systems (RBHSs) are widely utilized in many industrial
machinery, such as aero-engines, high speed trains, wind turbine, etc. A clearly …

Deep learning-based partial domain adaptation method on intelligent machinery fault diagnostics

X Li, W Zhang - IEEE Transactions on Industrial Electronics, 2020 - ieeexplore.ieee.org
In the past years, deep learning-based machinery fault diagnosis methods have been
successfully developed, and the basic diagnostic problems have been well addressed …

A concentrated time–frequency analysis tool for bearing fault diagnosis

G Yu - IEEE Transactions on Instrumentation and …, 2019 - ieeexplore.ieee.org
In industrial rotating machinery, the transient signal usually corresponds to the failure of a
primary element, such as a bearing or gear. However, faced with the complexity and …

Meshing and dynamic characteristics analysis of spalled gear systems: A theoretical and experimental study

Y Huangfu, K Chen, H Ma, X Li, H Han… - Mechanical Systems and …, 2020 - Elsevier
Considering the realistic spalling morphology obtained from the fatigue experiment, a novel
dynamic model for spalled gear pairs is established in this paper. Loaded tooth contact …

Calculation of mesh stiffness of spur gears considering complex foundation types and crack propagation paths

K Chen, Y Huangfu, H Ma, Z Xu, X Li, B Wen - Mechanical Systems and …, 2019 - Elsevier
Based on the finite element theory and the loaded tooth contact analysis, an analytical-finite-
element model considering the complex foundation types and the crack propagation paths is …

Vibration response and fault characteristics analysis of gear based on time-varying mesh stiffness

Z Meng, G Shi, F Wang - Mechanism and Machine Theory, 2020 - Elsevier
Gears are prone to failures, which are difficult to detect in the early stage. In this study, the
time-varying mesh stiffness of gears teeth with different crack lengths is calculated, and the …