A5060249465- Reliability and Maintenance Optimization
- Software Reliability and Analysis Research
- Probabilistic and Robust Engineering Design
- Statistical Distribution Estimation and Applications
- Risk and Safety Analysis
- Advanced Statistical Process Monitoring
- Advanced Battery Technologies Research
- Fault Detection and Control Systems
- Scientific Measurement and Uncertainty Evaluation
- Fatigue and fracture mechanics
- Advanced Statistical Methods and Models
- Optimal Experimental Design Methods
- Energy Efficient Wireless Sensor Networks
- Manufacturing Process and Optimization
- Power System Reliability and Maintenance
- Domain Adaptation and Few-Shot Learning
- Control Systems and Identification
- Advanced Control Systems Optimization
- Smart Grid and Power Systems
- Concrete Corrosion and Durability
- Electric Vehicles and Infrastructure
- Satellite Communication Systems
- High voltage insulation and dielectric phenomena
- Industrial Vision Systems and Defect Detection
- Vehicle Routing Optimization Methods
Beihang University
2016-2025
China Southern Power Grid (China)
2024
Wuhan Polytechnic University
2023
Power Grid Corporation (India)
2023
Chengdu University of Technology
2023
Tsinghua University
2017-2021
North China Electric Power University
2021
East Asia School of Theology
2021
Shanghai University
2021
Beijing University of Technology
2021
The continuous glucose monitoring system is an effective tool, which enables the users to monitor their blood (BG) levels. Based on (CGM) data, we aim at predicting future BG levels so that appropriate actions can be taken in advance prevent hyperglycemia or hypoglycemia. Due time-varying nonstationarity of CGM verified by Augmented Dickey-Fuller test and analysis variance, autoregressive integrated moving average (ARIMA) model with adaptive identification algorithm orders proposed...
Many practical systems have multiple consecutive and non-overlapping phases of operations during their mission are generally referred to as phased-mission (PMSs). This article considers a general type PMS consisting subsystems connected in series, where each subsystem contains components with different capacities. The within the same divided into several disjoint work-sharing groups (WSGs). capacity WSG is equal summation capacities its working components, maximum capacity. system...
To improve the system reliability while conserving limited resources, cold standby sparing is often used. In computing tasks, because active components fail randomly, and component has to pick up mission task whenever required, scheduled backups are implemented save completed portions of task. The can facilitate an effective recovery where take over from last backup point instead resuming very beginning. This paper considers a k-out-of- n subject backups, k online operating, with remaining...
We develop a reliability model for systems with s-dependent degradation processes using copulas. The proposed accommodates assumptions of s-dependence among and allows different marginal distributions. This flexibility makes the more attractive compared multivariate distribution model, which lay on limitation homogeneous can only describe linear correlation. Marginal process is modeled by inverse Gaussian (IG) time scale transformation. Furthermore, we incorporate random drift to account...