A5101766319- Machine Fault Diagnosis Techniques
- Stability and Controllability of Differential Equations
- Gear and Bearing Dynamics Analysis
- Fault Detection and Control Systems
- Advanced Mathematical Modeling in Engineering
- Physics and Engineering Research Articles
- Control Systems and Identification
- Corporate Finance and Governance
- Occupational Health and Safety Research
- Navier-Stokes equation solutions
- Public-Private Partnership Projects
- Public Procurement and Policy
- Electromagnetic Simulation and Numerical Methods
- Radio Wave Propagation Studies
- Lysosomal Storage Disorders Research
- Advanced machining processes and optimization
- Nonlinear Dynamics and Pattern Formation
- Welding Techniques and Residual Stresses
- Engineering Diagnostics and Reliability
- Advanced Numerical Methods in Computational Mathematics
- Thermography and Photoacoustic Techniques
- Control and Stability of Dynamical Systems
- Blind Source Separation Techniques
- Quantum chaos and dynamical systems
- Electromagnetic Scattering and Analysis
Hohai University
2023-2024
Xi'an Jiaotong University
2024
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
2021
SUNY Downstate Health Sciences University
2021
Sun Yat-sen University
2008-2010
Shandong University of Science and Technology
2009
Women’s Environmental Institute
1999
Rotating machines are essential components in manufacturing, power generation, transportation, and aerospace industries. Nevertheless, most existing diagnosis methodologies developed based on the assumption that machinery operates under stable conditions, which may limit their ability to uncover sufficient discriminative features when confronted with high noise levels. To tackle this issue, paper proposes a joint threshold learning convolutional network (JT-LCN) for rotating non-stationary...
Electromagnetic wave propagation over sea surface is affected by the roughness. In this paper, an improved impedance boundary method presented and initial field calculated Green function, which improves stability accurateness of parabolic equation (PE). Eventually forecast rough has been with The results from PE are compared Miller-Brown model, good agreement shown.
A new high-order accurate method (CS-FDTD) for solving Maxwell equations in the time domain is proposed, which differential discretized by symplectic scheme and spatial computed with compact central difference approximation. The CS-FDTD retains much of original simplicity Yee scheme. Theoretical analysis numerical stability dispersion presented comparisons stability, are provided traditional FDTD (S-FDTD) method. Numerical result shows that more efficient than S-FDTD