A5100354781- Fault Detection and Control Systems
- Industrial Technology and Control Systems
- Advanced Sensor and Control Systems
- Hydraulic and Pneumatic Systems
- Advanced Control Systems Optimization
- Adaptive Control of Nonlinear Systems
- Simulation and Modeling Applications
- Vehicle Dynamics and Control Systems
- Iterative Learning Control Systems
- Advanced Algorithms and Applications
- Mineral Processing and Grinding
- Real-time simulation and control systems
- Manufacturing Process and Optimization
- Control Systems in Engineering
- Advanced Decision-Making Techniques
- Spectroscopy and Chemometric Analyses
- Aerospace and Aviation Technology
- Advanced Data Processing Techniques
- Oil and Gas Production Techniques
- Evaluation and Optimization Models
- Advanced Measurement and Detection Methods
- Advanced Statistical Process Monitoring
- Elevator Systems and Control
- Metallurgy and Material Forming
- Stability and Control of Uncertain Systems
Yanshan University
2009-2025
Tianma Microelectronics (China)
2023-2024
China Coal Research Institute (China)
2011-2024
Shenzhen University
2024
Instituto da Visão
2024
Institut de la Vision
2024
Guangzhou Research Institute of Non-ferrous Metals
2024
Henan University of Engineering
2024
Traffic Management Research Institute
2018-2023
Beihang University
2013-2023
In the surgical treatment of urinary diseases, ureteral stents are commonly used interventional medical devices. Although polymer with polyurethane as main constituent widely in clinic, need for secondary surgery to remove them and their propensity cause bacterial infections greatly limit effectiveness. To satisfy clinical requirements, an electrospinning-based strategy fabricate PLGA silver@graphdiyne is innovated. Silver (Ag) nanoparticles uniformly loaded on surface graphdiyne (GDY)...
This study applies deep learning predictive networks and multi-objective decision-making algorithms to the context of innovation entrepreneurship education, aiming explore characteristics students in different majors regarding entrepreneurship. It also investigates how their inputs contribute enhancement abilities, as well improvement academic performance. The researchers designed survey questions across four levels: internal external factors, subjective objective factors. Longitudinal data...
The temperature-induced variation in operating force of flow control valves may result performance degradation or even jam faults fuel metering unit (FMU), which significantly affects the safety aircrafts. In this work, an analytical modeling approach temperature-sensitive operating-force servo valve is proposed to investigate temperature characteristics varying conditions. Considering effects, a new extended model built and friction also derived theoretically based on dynamic clearance...
Design of experiments (DOE) for parameter estimation in dynamic systems is receiving more attention from process system engineers. In this paper, a principal component analysis (PCA)-based optimal criterion (P-optimal) model-based DOE proposed that combines PCA with information matrix analysis. The P-optimal general form encompasses most widely used design criteria such as D-, E-, and SV-optimal, it can automatically choose the objective function (criterion) to use specific differential...
Operation abnormalities of fused magnesium furnaces (FMFs), e.g., semi-molten, can degrade the product quality and operation performance. The even lead to accidents caused by leakage fusing fluids with ultrahigh temperatures. Therefore, it is essential identify semi-molten abnormality timely accurately. In view spatiotemporal characteristics image sequences furnace shell under abnormal conditions FMFs, existence strong disturbances water mist, white spot, flame fluctuation on top furnace,...
AbstractProcess safety and product quality is the goal which people unremittingly pursuit. In this paper, hot issues of process statistical modeling, online monitoring, fault diagnosis, prediction solution methods based on multivariate techniques for each issue are discussed fully deeply. The origin development method reviewed, their advantage disadvantage analyzed, nature problem investigated through course research, value significance revealed, potential problems prospects future research...
Accurate and timely forecasting of traffic status is crucial to effective management intelligent transportation systems (ITS). An interacting multiple model (IMM) predictor proposed forecast travel time index (TTI) data in the letter. To best our knowledge, it first propose novel combined predictor. Seven baseline individual predictors are selected as combination components because their proved effectiveness. Experimental results demonstrate that IMM can significantly outperform other...
The accurate measurement of surfaces large aviation components is vital for the assessment manufacturing and assembly quality such components. To satisfy requirement large-size components, most current researches pay more attention to combined methods utilizing different measuring instruments, but related on error analysis optimization are not taken enough attention. This paper proposes a laser-assisted method with feature enhancement techniques, it also develops an propagation model main...
Traffic signal optimization is a significant means for smoothing urban traffic flow. However, the operation of signals currently seriously constrained by data available from traditional point detectors. In recent years, an emerging technology, connected vehicle (CV), which can percept overall environment in real time, has drawn researchers’ attention. With new source, controllers should be able to make smarter decisions. A lot work been done develop control pattern under connected-vehicle...
The issue of dynamic batch profile synchronization is addressed. By converting into a optimization problem, time warping (DTW) and derivative DTW (DDTW) show the best performance by far. To deal with singularity point numerical estimation problems DDTW in presence noise, robust algorithm proposed combining Savitzky–Golay filter together. A comparative analysis available methods performed on simulated real chemical plant data.
The model-free adaptive controller (MFAC) for continuous rotary electro-hydraulic servo motor was proposed to deal with uncertainties such as friction, leakage and noise. model of system replaced by universal model, the structure control parameter were combined, MFAC designed using input output data realize low speed tracking system. It is proved simulation experiment that effectively improves low-speed stability anti-interference ability compared traditional PID control, widens frequency...