专题：Gear and Bearing Dynamics Analysis

This cluster of papers focuses on the dynamics, faults, and lubrication aspects of gear systems, including topics such as mesh stiffness, tooth crack propagation, vibration analysis, elastohydrodynamic lubrication, rolling contact fatigue, bearing faults, and nonlinear dynamics. The papers cover various types of gears including spur gears and planetary gears.
最新文献
An Anisotropic Damage Model for High Cycle Rolling Contact Fatigue

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Quantification and structure-function analysis of calpain-1 and calpain-2 protease subunit interactions

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Effects of residual stress on rolling contact fatigue of ductile iron

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Decrease of Static Friction Coefficient with Interface Growth from Single to Multiasperity Contact

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Digital Twin-Based Technical Research on Comprehensive Gear Fault Diagnosis and Structural Performance Evaluation

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Intelligent diagnosis of gearbox in data heterogeneous environments based on federated supervised contrastive learning framework

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A Hybrid Deep Learning Approach for Bearing Fault Diagnosis Using Continuous Wavelet Transform and Attention-Enhanced Spatiotemporal Feature Extraction

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Influence of Tooth Surface Wear on Dynamic Characteristics of Gear Systems Considering Three‐Dimensional Tooth Surface Geometric Errors

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A Novel Hybrid FEM–Dynamic Modeling Approach for Enhanced Vibration Diagnostics in a Two-Stage Spur Gearbox

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Cage parameters on friction within cage-pockets contacts and lubrication behaviors in ball-raceway contacts

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近5年高被引文献
Digital twin-driven intelligent assessment of gear surface degradation

article Full Text OpenAlex 347 FWCI41.55

A review of vibration-based gear wear monitoring and prediction techniques

review Full Text OpenAlex 303 FWCI9.69

A novel time–frequency Transformer based on self–attention mechanism and its application in fault diagnosis of rolling bearings

article Full Text OpenAlex 274 FWCI27.231

Intelligent fault diagnosis of rotating machinery based on continuous wavelet transform-local binary convolutional neural network

article Full Text OpenAlex 253 FWCI28.677

Novel Joint Transfer Network for Unsupervised Bearing Fault Diagnosis From Simulation Domain to Experimental Domain

article Full Text OpenAlex 231 FWCI35.62

Convolutional neural network based bearing fault diagnosis of rotating machine using thermal images

article Full Text OpenAlex 230 FWCI23.036

Multi-mode data augmentation and fault diagnosis of rotating machinery using modified ACGAN designed with new framework

article Full Text OpenAlex 229 FWCI35.001

Unsupervised domain-share CNN for machine fault transfer diagnosis from steady speeds to time-varying speeds

article Full Text OpenAlex 216 FWCI24.099

Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016

review Full Text OpenAlex 213 FWCI16.459

Meta-learning for few-shot bearing fault diagnosis under complex working conditions

article Full Text OpenAlex 201 FWCI22.171