A5100413054- Fault Detection and Control Systems
- Advanced Control Systems Optimization
- Advanced Algorithms and Applications
- Advanced Sensor and Control Systems
- Industrial Technology and Control Systems
- Neural Networks and Applications
- Advanced Computational Techniques and Applications
- Catalytic Processes in Materials Science
- Mineral Processing and Grinding
- Control Systems and Identification
- Spectroscopy and Chemometric Analyses
- Machine Learning and ELM
- Neural Networks and Reservoir Computing
- Process Optimization and Integration
- Reservoir Engineering and Simulation Methods
- Enhanced Oil Recovery Techniques
- Advanced Photocatalysis Techniques
- Fluid Dynamics and Mixing
- Hydrocarbon exploration and reservoir analysis
- Advanced Adaptive Filtering Techniques
- Computational Drug Discovery Methods
- Petroleum Processing and Analysis
- Digital Filter Design and Implementation
- Metaheuristic Optimization Algorithms Research
- Zeolite Catalysis and Synthesis
China University of Petroleum, East China
2014-2025
China Academy of Space Technology
2022-2024
China University of Petroleum, Beijing
2007-2023
Yanshan University
2023
Yantai Nanshan University
2022
Fudan University
2020
Zhengzhou Normal University
2020
Wuhan University of Science and Technology
2017
Intelligent Health (United Kingdom)
2017
Sichuan University
2017
The copper-based (Cu-based) electrocatalytic materials effectively carry out the carbon dioxide reduction reaction (CO2RR) toward C2+ products, yet superiority and stability of oxidation state Cu are still worth studying. Herein, we designed prepared three Cu-based electrocatalysts with different states to study valence state-activity relationship. Among these electrocatalysts, Cu2O nanosheets thickness only 0.9 nm show an extremely high Faraday efficiency (FEC2+) ∼81%, FEC2+ has increase...
With the increase of CO2 emissions, a series environmental and ecological problems have been brought about, there has growing focus on rational development fixation technologies emissions reduction. Among many techniques, photocatalytic is an ideal conversion method due to its simple operation, environmentally friendliness, diverse products, high yield, energy utilization. This perspective summarizes reactions alkene, alkyne, C–H bond, C–O C–(pseudo)halide unsaturated amines, epoxides...
Kernel principal component analysis (KPCA) has been widely applied to the nonlinear process fault diagnosis field. However, it often does not perform well in case of incipient faults because omission local data information. To overcome this problem, one enhanced KPCA method, called two-step localized (TSLKPCA), is proposed for work. The two steps are designed mine information better. At first step, optimization objective modified by integrating structure preservation so that extracted kernel...
The outbreak of jellyfish blooms poses a serious threat to human life and marine ecology. Therefore, detection techniques have earned great interest. This paper investigates the classification algorithm based on optical images deep learning theory. Firstly, we create dataset comprising 11,926 images. A MSRCR underwater image enhancement with fusion is proposed. Finally, an improved YOLOv4-tiny proposed by incorporating CBMA module optimizing training method. results demonstrate that accuracy...
In order to provide the stable and reliable prediction of key quality variables for industrial processes with complicated nonlinear characteristic, this paper proposes a Double-level Locally Weighted Extreme Learning Machine (DLWELM) based soft sensor modeling method. Firstly, just-in-time learning extreme machine framework (JITELM) is designed adaptive modeling. Then, one double-level similarity measure methodology presented considering both variable importance sample distance. At first...
A hydrothermal synthesis method for β zeolite preparation using kaolin as the sole alumina source was investigated. This approach provided a choice to manufacture with low cost source. The samples were characterized by XRD, IR, SEM, XRF, DSC, and BET surface area measurements. Tunable crystallinity, higher meso- or macroporosity, thermal stability, more Brönsted type acid sites of can be obtained properly controlling conditions this system. catalytic evaluation results indicated that...
To cope with the soft sensor modeling of unobserved multimode nonlinear processes, this paper proposes a modified kernel partial least squares (KPLS) by integrating latent factor clustering (LFC), called LFC-KPLS. In proposed method, process data are first divided into several batches orderly, and then projected onto space using functional expansion technology. space, method is applied to compute regression coefficients between input variables output variable each batch. These coefficients,...
Genetic algorithm has been widely used in the various optimal problems. Its application fuzzy control is still limited by factors such as local and premature convergence. Therefore, this paper proposes that rule were adjusted together using hybrid based on genetic ant colony algorithm. generates initial candidate develop pheromone of Updating pheromone, operation replaces selecting obtains better candidate. Then, carry out subsequence The simulation results show make controller get...
To cope with computational challenges on dynamic optimization problems discontinuous control profiles, a methodology combining the adaptive pseudospectral method structure detection procedure is presented. First, method, which divides time intervals based an estimation of approximation error, utilized to obtain potential sequence and type arcs composed profiles. Second, derived information exploited by reformulate original nonsmooth problem as multistage (MSP), where adjacent same input are...