A5101554603- Machine Fault Diagnosis Techniques
- Gear and Bearing Dynamics Analysis
- Engineering Diagnostics and Reliability
- Industrial Vision Systems and Defect Detection
- Non-Destructive Testing Techniques
- Manufacturing Process and Optimization
- Digital Transformation in Industry
- Mechanical Failure Analysis and Simulation
- Fault Detection and Control Systems
- Mechanical Engineering and Vibrations Research
- Industrial Technology and Control Systems
- Reliability and Maintenance Optimization
- Oil and Gas Production Techniques
- Tribology and Lubrication Engineering
- Advanced Statistical Process Monitoring
- Welding Techniques and Residual Stresses
- Photovoltaic System Optimization Techniques
- Visual Attention and Saliency Detection
- Integrated Circuits and Semiconductor Failure Analysis
- Iterative Learning Control Systems
- Sustainable Supply Chain Management
- Scheduling and Optimization Algorithms
- Geotechnical Engineering and Analysis
- Advanced Computational Techniques and Applications
- Occupational Health and Safety Research
Xidian University
2015-2025
Xi’an University of Posts and Telecommunications
2021
Kansas State University
2015
Russian University of Cooperation
2015
University Research Co (United States)
2015
Energy-intensive manufacturing industries are characterised by high pollution and heavy energy consumption, severely challenging the ecological environment. Fortunately, environmental, social, governance (ESG) can promote energy-intensive enterprises to achieve smart sustainable production. In Industry 4.0, various advanced technologies used manufacturing, but sustainability of production is often ignored without considering ESG performance. This study proposes a strategy edge-cloud...
Abstract Ice accretion on wind turbine blades is one of the major faults affecting operational safety and power generation efficiency turbines. Current icing detection methods are based either meteorological observing system or extra condition monitoring system. Compared with current methods, using intrinsic supervisory control data acquisition (SCADA) turbines has plenty potential advantages, such as low cost, high stability, early ability. However, there have not been deep investigations...
Most existing transfer fault diagnosis methods have gained noteworthy domain adaptability and generalization capability for rotating machinery under the scenario where source target identical label space. Nevertheless, inconsistent modes that occur different operating conditions in an actual industrial environment can make it challenging to construct a model across domains since shift category inconsistencies. To address this issue, dual weighted-class adversarial network (DWCAN) is proposed...
Due to the complex shield construction characteristics and effects of geological environment, it is difficult control direction tunneling determine reasonable parameters such as speed so on. During tunneling, machine may rise, shift snake advance, which are not conducive tunnel axis. Aiming at problem that accurately predict correct axis attitude deviation in process, a prediction correction method based on data driven during was put forward this paper. Under certain conditions, relationship...
Federated Learning (FL) aims to protect data privacy while aggregating models. Existing works rarely focus simultaneously on the three issues of communication efficiency, privacy, and utility, which are main challenges facing FL. Specifically, sensitive information about training can still be inferred from model parameters shared in In recent years, Differential Privacy (DP) has been applied FL privacy. The challenge implementing DP lies detrimental impact differential noise accuracy....