Latest Research in Railway Engineering and Dynamics
35 research papers · 2026 median publication year
Top Research Topics in Railway Engineering and Dynamics
- Machine Fault Diagnosis Techniques — 28 papers
- Railway Engineering and Dynamics — 1 papers
- Advanced Welding Techniques Analysis — 1 papers
- Gear and Bearing Dynamics Analysis — 1 papers
- Wind Energy Research and Development — 1 papers
- Machine Learning — 1 papers
- Tunneling and Rock Mechanics — 1 papers
- Belt Conveyor Systems Engineering — 1 papers
Highest-Cited Papers
- Fault diagnosis method for rolling bearings based on improved recurrence plot and EfficientNet
- Multi-stage diffusion-based vibration signal representation for few-shot rolling bearing fault diagnosis
- CFRFN-iTransformer-KDNet: A lightweight fault diagnosis network for bearings under variable speed conditions
- Intelligent diagnosis method for compound faults in wheelset–axlebox systems of urban rail vehicles based on the fusion of vibration signals and infrared thermal images
- Frequency-Aware Lightweight Convolutional Neural Network for Edge-Enabled Intelligent Bearing Fault Diagnosis and Health Management
- WT-STCA-ViT: Window-transform synergistic spectro-temporal channel attention Vision Transformer for robust bearing fault diagnosis
- Bearing Fault Diagnosis Under Data Imbalance and Heavy Noise: An Adaptive Weighted Heterogeneous Ensemble Learning Framework
- A Bearing Fault Diagnosis Method for Variable Operating Conditions Based on MMDSC-CBAM-BiLSTM
- Multi-scale multi-task CNN with bidirectional squeeze-and-excitation attention for rolling bearing fault diagnosis
- A multi-scale frequency domain information-driven method for ultrasonic welding quality prediction
- Early Bearing Fault Evolution Modeling with a Dynamics-Constrained Graph Neural Network
- Comparative Evaluation of Conventional Feature-Based and Physics-Guided Condition-Index Representations for Industrial Motor Fault Diagnosis
- A Fault Diagnosis Framework for Rolling Bearings Based on PPCA-AR Anti-Interference Preprocessing and LSTM
- Guided differential dilated convolutional network for fault diagnosis of hydraulic manipulators
- An Intelligent Bearing Fault Diagnosis Model with Physics-Information Fusion: Design and Interpretability Mechanism Research
- Fault Diagnosis of Motor Bearing Transmission System Based on Acoustic Feature Fusion
- Cross-Condition Fault Diagnosis of Rolling Bearings Based on Time–Frequency Ridge Extraction and Uncertainty-Guided Distribution-Regularised Convolutional Wasserstein Autoencoder
- An extended interval structure automated belief rule-based bearing fault diagnosis method for complex engineering systems
- Estimation and detection of rotor mass imbalance of wind turbines using convolutional neural network
- A digital twin-based approach for generalized fault diagnosis of high-speed train gearbox gears