- Crystallization and Solubility Studies
- X-ray Diffraction in Crystallography
- Plasma Applications and Diagnostics
- Surface Modification and Superhydrophobicity
- Plasma Diagnostics and Applications
- Thermal Analysis in Power Transmission
- Icing and De-icing Technologies
- Electrohydrodynamics and Fluid Dynamics
- Remote Sensing and Land Use
- Image Retrieval and Classification Techniques
- High voltage insulation and dielectric phenomena
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Building Energy and Comfort Optimization
- Lightning and Electromagnetic Phenomena
- Remote-Sensing Image Classification
- High-Voltage Power Transmission Systems
- Neural Networks and Applications
- Vibration and Dynamic Analysis
- Machine Learning and ELM
- Advanced Sensor and Control Systems
- Power System Optimization and Stability
- Microgrid Control and Optimization
- Advanced Computational Techniques and Applications
- Advanced Memory and Neural Computing
China Southern Power Grid (China)
2018-2025
Donghua University
2003-2024
Inner Mongolia Electric Power (China)
2023
Air Liquide (Germany)
2022
Chinese Academy of Sciences
2018-2020
Quanzhou Institute of Equipment Manufacturing Haixi Institute
2018-2020
Fujian Institute of Research on the Structure of Matter
2019
Ministry of Education of the People's Republic of China
2018
Changsha University of Science and Technology
2015
Chongqing University
2010
Icing on transmission lines poses a serious threat to the power grid. Existing de-icing solutions have limitations in short-distance distribution networks with multiple branches. We propose method that utilizes flexible grounding device adjust zero-sequence reactive current network, enabling of without interruption. Simulation and experimental results validate feasibility effectiveness proposed control scheme. The can accurately regulate achieve under various conditions, actual deviating...
The high dimensionality of hyperspectral images often results in the degradation clustering performance. Due to powerful ability potential feature extraction and nonlinear representation, deep algorithms have become a hot topic remote sensing. Different tasks need different features. However, current generally separate from clustering, which extracted features that are not constrained by tasks. Therefore, these may be suitable for clustering. To address this issue, we adopt intraclass...
To achieve the greenhouse gas reduction targets formulated in European Green Deal, energy- and resource-intensive industries such as steel industry will have to adapt or convert their production. In long term, new technologies are promising. However, carbon capture storage utilization solutions could be considered short-term retrofitting for existing steelworks. this context, paper presents a first experimental demonstration of an approach process off-gases generated steelworks by producing...
Recently, convolutional neural networks (CNNs) have achieved excellent performances in many computer vision tasks. Specifically, for hyperspectral images (HSIs) classification, CNNs often require very complex structure due to the high dimension of HSIs. The results prohibitive training efforts. Moreover, common situation HSIs classification task is lack labeled samples, which accuracy deterioration CNNs. In this work, we develop an easy-to-implement capsule network alleviate aforementioned...
Most multi-view subspace clustering algorithms construct the affinity matrix with shallow features extracted from each view separately. The integration of are left for extended spectral algorithm. lack deep feature extraction and interaction across different views prevents effective exploration information complementary datasets. To address this problem, paper proposes a novel sparse (DMVSSC) model which consists convolutional auto-encoders (CAEs) CCA-based self-expressive module. proposed...
Low-pressure glow discharges are efficient in generating uniform plasmas. They have been applied the surface modification of a variety materials. But most these applications limited to small-scales because their reliance on vacuum equipments needed sustain processes at low pressure. This work aims commending continuous treatment device, which meets requirement textile material by dielectric barrier discharge (DBD) atmospheric pressure for industry production. In experiment,...
Plasma surface engineering is a sustainable alternative to water and chemical processing of textile materials. It involves exposing materials energetic gas particles or plasmas that enhance properties improve functionality. This allows for efficient modification, leading increased productivity enhanced performance textiles with such as wettability, adhesion, antimicrobial activity. review discusses advanced plasma in the industry. First, it introduces reader various reactions mechanisms...
Purpose The objective of this study is to use non-destructive testing corrosion on coated aluminium alloys using differential eddy current detection (DECD), with the aim elucidating relationship between characteristics defects and signal. Design/methodology/approach Pitting varying geometrical dimensions were fabricated surface alloy plates, their impedance signals detected DECD investigate influence defect diameter, depth, products coating thickness signals. Furthermore, finite element...
The phenomenon of dampness and dewing inside the switchgear can improve occurrence serious equipment faults. Based on it, this paper, starting from mechanism switchgear, summarizes main techniques that prevent control them, merits demerits them are analysed. After that, based investigation damping 12kV a simulation environment is designed in order to investigate switchgear. Firstly, entire factors given. Then, prototype designed, including base configuration sensor installation...
Poly(N-isopropylacrylamide) (PNIPAAm) is a new type of smart thermo-sensitive macromolecule material that characterized by sudden precipitation on heating, switching from hydrophilic to hydrophobic state. In this paper, using the self-made equipment atmospheric pressure plasma vapor treatment running in environment argon, PNIPAAm was deposited separately Polybutylene Terephthalate (PBT) melt-blown nonwovens and Polyester (PET) fabrics. It found wettability water permeability were...
the external volt-ampere characteristic of rectifier and inverter station VSC-HVDC (Voltage Sourced Converter-High Voltage Direct Current) system is simplified dc network equivalent circuit built.The small signal model then derived.The transmission capacity calculated under small-signal stability constraints three influence factors are also obtained.Simulation conducted by using PSCAD/EMTDC software.The simulation results demonstrate that supply a passive be quite affected DC voltage,...
This work mainly discusses the application of an improved fuzzy ARTMAP network based on logic in wetland classification. The main improvement is represented two phases: first category competition phase, reasoning replaces simply similarity criterion; second studying (resonance) not only winning neuron's weights but also membership functions are updated according to input characters. data source TM images Zhalong nature reserve north China, and both spectrum spatial characters extracted from...
Plasma, a quasi-neutral gas, is referred to as the forth state of matter.Plasma surface treatment consists plasma modification, polymerization and grafting.Dielectric barrier discharge (DBD) an effective way producing homogeneous plasma.DBD infinite micro-discharges, which distribute irregularly whole space both in time space.The self-made equipment atmospheric pressure vapor deposition poly(N-isopropylacrylamide) (PNIPAm) was used environment argon.PNIPAm new type smart thermo-sensitive...