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 Improved Multi-Layer Convolutional Sparse Coding Model For Fault Feature Extraction of Rolling Element Bearings Under Varying Speed Conditions

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Identification of wheel hollow-worn under complex environment based on mutability and continuity

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Analytical and experimental study on the bi-misaligned lubrication characteristics of a novel grooved bearing

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Reliability analysis of gear-bearing drive systems considering gear manufacturing and installation errors

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Physics-informed neural network approach to randomly rough surface contact mechanics

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A machine learning-based interpretable fault diagnosis method for rolling bearings under unbalanced samples

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An adaptive cyclostationarity feature mode decomposition for rolling bearing fault diagnosis under strong background noise

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Nonlinear dynamics analysis of rotor system considering brush seal axial force

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Data-Driven Deep Learning for Predicting Ligament Fatigue Failure Risk Mechanisms

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Influence of motor rotor bending on vibration characteristics of electric drive system

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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 375 FWCI41.022

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

review Full Text OpenAlex 345 FWCI9.789

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

article Full Text OpenAlex 316 FWCI27.348

Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning

article Full Text OpenAlex 287 FWCI29.637

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

article Full Text OpenAlex 270 FWCI28.674

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

review Full Text OpenAlex 254 FWCI16.544

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

article Full Text OpenAlex 242 FWCI33.798

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

article Full Text OpenAlex 239 FWCI23.141

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

article Full Text OpenAlex 238 FWCI33.24

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

article Full Text OpenAlex 228 FWCI24.216