- Tribology and Lubrication Engineering
- Gear and Bearing Dynamics Analysis
- Adhesion, Friction, and Surface Interactions
- Lubricants and Their Additives
- Hydraulic and Pneumatic Systems
- Tribology and Wear Analysis
- Mechanical stress and fatigue analysis
- Advanced Combustion Engine Technologies
- Mechanical Failure Analysis and Simulation
- Advanced Photocatalysis Techniques
- Railway Engineering and Dynamics
- Manufacturing Process and Optimization
- Refrigeration and Air Conditioning Technologies
- Machine Fault Diagnosis Techniques
- Dynamics and Control of Mechanical Systems
- Advanced machining processes and optimization
- Copper-based nanomaterials and applications
- Metal Alloys Wear and Properties
- Design Education and Practice
- Vibration and Dynamic Analysis
- Mechanical Engineering and Vibrations Research
- Simulation and Modeling Applications
- Digital Transformation in Industry
- Advancements in Battery Materials
- Non-Destructive Testing Techniques
Shanghai Jiao Tong University
2016-2025
University of Illinois Urbana-Champaign
2024
Harbin Institute of Technology
2024
University of Illinois System
2024
Tianjin University
2024
Renmin University of China
2024
Ocean University of China
2024
Nanchang University
2023
Bridge University
2023
China Coal Technology and Engineering Group Corp (China)
2023
Abstract When the oil supply is not adequate to maintain ideal lubrication, angular contact ball bearing will enter into starved lubrication regime resulting in potential performance degradation and consequently severe failures. To study effects of on bearing, this paper first proposes a multi-degree-of-freedom (DOF) tribo-dynamic model by introducing five-DOF inner ring, six-DOF balls, cage. The considers ball-raceway full multi-body interactions between components. With different...
Rolling bearings are fundamental components in machinery, and precise fault diagnosis is critical for assessing the overall reliability of mechanical systems. In cross-domain diagnosis, domain drift presents a primary challenge, often leading to performance degradation or model failure, particularly under cross-machine conditions characterized by pronounced distributional discrepancies. This study introduces an innovative framework termed dynamical joint distribution adaptation (DJDA)...