Latest Research in Railway Engineering and Dynamics

35 research papers · 2026 median publication year

Top Research Topics in Railway Engineering and Dynamics

Highest-Cited Papers

  1. Fault diagnosis method for rolling bearings based on improved recurrence plot and EfficientNet
  2. Multi-stage diffusion-based vibration signal representation for few-shot rolling bearing fault diagnosis
  3. CFRFN-iTransformer-KDNet: A lightweight fault diagnosis network for bearings under variable speed conditions
  4. 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
  5. Frequency-Aware Lightweight Convolutional Neural Network for Edge-Enabled Intelligent Bearing Fault Diagnosis and Health Management
  6. WT-STCA-ViT: Window-transform synergistic spectro-temporal channel attention Vision Transformer for robust bearing fault diagnosis
  7. Bearing Fault Diagnosis Under Data Imbalance and Heavy Noise: An Adaptive Weighted Heterogeneous Ensemble Learning Framework
  8. A Bearing Fault Diagnosis Method for Variable Operating Conditions Based on MMDSC-CBAM-BiLSTM
  9. Multi-scale multi-task CNN with bidirectional squeeze-and-excitation attention for rolling bearing fault diagnosis
  10. A multi-scale frequency domain information-driven method for ultrasonic welding quality prediction
  11. Early Bearing Fault Evolution Modeling with a Dynamics-Constrained Graph Neural Network
  12. Comparative Evaluation of Conventional Feature-Based and Physics-Guided Condition-Index Representations for Industrial Motor Fault Diagnosis
  13. A Fault Diagnosis Framework for Rolling Bearings Based on PPCA-AR Anti-Interference Preprocessing and LSTM
  14. Guided differential dilated convolutional network for fault diagnosis of hydraulic manipulators
  15. An Intelligent Bearing Fault Diagnosis Model with Physics-Information Fusion: Design and Interpretability Mechanism Research
  16. Fault Diagnosis of Motor Bearing Transmission System Based on Acoustic Feature Fusion
  17. Cross-Condition Fault Diagnosis of Rolling Bearings Based on Time–Frequency Ridge Extraction and Uncertainty-Guided Distribution-Regularised Convolutional Wasserstein Autoencoder
  18. An extended interval structure automated belief rule-based bearing fault diagnosis method for complex engineering systems
  19. Estimation and detection of rotor mass imbalance of wind turbines using convolutional neural network
  20. A digital twin-based approach for generalized fault diagnosis of high-speed train gearbox gears
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L3 Region - - 2026 Sep Q3

Railway Engineering and Dynamics

35 papers

Top Topics (8)

Machine Fault Diagnosis Techniques28
Railway Engineering and Dynamics1
Advanced Welding Techniques Analysis1
Gear and Bearing Dynamics Analysis1
Wind Energy Research and Development1
Machine Learning1
Tunneling and Rock Mechanics1
Belt Conveyor Systems Engineering1

Top Publications (20)

1.Fault diagnosis method for rolling bearings based on improved recurrence plot and EfficientNet2.Multi-stage diffusion-based vibration signal representation for few-shot rolling bearing fault diagnosis3.CFRFN-iTransformer-KDNet: A lightweight fault diagnosis network for bearings under variable speed conditions4.Intelligent diagnosis method for compound faults in wheelset–axlebox systems of urban rail vehicles based on the fusion of vibration signals and infrared thermal images5.Frequency-Aware Lightweight Convolutional Neural Network for Edge-Enabled Intelligent Bearing Fault Diagnosis and Health Management6.WT-STCA-ViT: Window-transform synergistic spectro-temporal channel attention Vision Transformer for robust bearing fault diagnosis7.Bearing Fault Diagnosis Under Data Imbalance and Heavy Noise: An Adaptive Weighted Heterogeneous Ensemble Learning Framework8.A Bearing Fault Diagnosis Method for Variable Operating Conditions Based on MMDSC-CBAM-BiLSTM9.Multi-scale multi-task CNN with bidirectional squeeze-and-excitation attention for rolling bearing fault diagnosis10.A multi-scale frequency domain information-driven method for ultrasonic welding quality prediction11.Early Bearing Fault Evolution Modeling with a Dynamics-Constrained Graph Neural Network12.Comparative Evaluation of Conventional Feature-Based and Physics-Guided Condition-Index Representations for Industrial Motor Fault Diagnosis13.A Fault Diagnosis Framework for Rolling Bearings Based on PPCA-AR Anti-Interference Preprocessing and LSTM14.Guided differential dilated convolutional network for fault diagnosis of hydraulic manipulators15.An Intelligent Bearing Fault Diagnosis Model with Physics-Information Fusion: Design and Interpretability Mechanism Research16.Fault Diagnosis of Motor Bearing Transmission System Based on Acoustic Feature Fusion17.Cross-Condition Fault Diagnosis of Rolling Bearings Based on Time–Frequency Ridge Extraction and Uncertainty-Guided Distribution-Regularised Convolutional Wasserstein Autoencoder18.An extended interval structure automated belief rule-based bearing fault diagnosis method for complex engineering systems19.Estimation and detection of rotor mass imbalance of wind turbines using convolutional neural network20.A digital twin-based approach for generalized fault diagnosis of high-speed train gearbox gears
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