Zelong Song
Southern University of Science and Technology(CN)
Publications by Year
Research Areas
Advanced machining processes and optimization, Machine Fault Diagnosis Techniques, Gear and Bearing Dynamics Analysis, Fault Detection and Control Systems, Advanced Neural Network Applications
Most-Cited Works
- → A novel digital twin model for dynamical updating and real-time mapping of local defect extension in rolling bearings(2023)86 cited
- → Digital twin‐assisted fault diagnosis system for robot joints with insufficient data(2022)32 cited
- → Attention mechanism‐based multisensor data fusion neural network for fault diagnosis of autonomous underwater vehicles(2023)21 cited
- → A model-data combination driven digital twin model for few samples fault diagnosis of rolling bearings(2024)15 cited
- → Research on rolling bearing fault diagnosis method based on improved multi-source fusion convolutional neural network(2024)3 cited
- → A hybrid digital twin model for quantitative prediction of defect sizes and acceleration responses of rolling bearings with sparse measured data(2025)1 cited
- → Design-on-Graph: A Graph Retrieval-Augmented Generation-Based Method to Support Manufacturing System Design(2025)
- → Deep learning based garbage recognition system(2024)