Area of research
Computer Networks and Communications · Civil and Structural Engineering
Research interest
Research focused on Spall and Bearing (navigation), with related work in Discriminative model, Generalizability theory, Convolutional neural network. Notable publications include 'Digital twin-driven intelligent assessment of gear surface degradation', 'A review of vibration-based gear wear monitoring and prediction techniques', and 'Physics-Informed Residual Network (PIResNet) for rolling element bearing fault diagnostics'.
State of Health Estimation for Second-Life Lithium-Ion Batteries in Energy Storage System With Partial Charging-Discharging Workloads
Sliding dynamics of a Filippov ecological system with nonlinear threshold control and pest resistance
Physics-Informed Residual Network (PIResNet) for rolling element bearing fault diagnostics
Data-driven bearing health management using a novel multi-scale fused feature and gated recurrent unit
A graph-guided collaborative convolutional neural network for fault diagnosis of electromechanical systems
IFD-MDCN: Multibranch denoising convolutional networks with improved flow direction strategy for intelligent fault diagnosis of rolling bearings under noisy conditions
A Novel Weak Feature Extraction Method for Rotating Machinery: Link Dispersion Entropy
Digital twin-driven intelligent assessment of gear surface degradation
A review of vibration-based gear wear monitoring and prediction techniques