A5047433248- Multilevel Inverters and Converters
- Extraction and Separation Processes
- Advanced DC-DC Converters
- Microgrid Control and Optimization
- Metal Extraction and Bioleaching
- Minerals Flotation and Separation Techniques
- Power Systems and Renewable Energy
- Welding Techniques and Residual Stresses
- Silicon Carbide Semiconductor Technologies
- Nanomaterials for catalytic reactions
- HVDC Systems and Fault Protection
- Energy Load and Power Forecasting
- Metal and Thin Film Mechanics
- Asymmetric Hydrogenation and Catalysis
- Advanced Photocatalysis Techniques
- Recycling and Waste Management Techniques
- Adsorption and biosorption for pollutant removal
- Electrohydrodynamics and Fluid Dynamics
- TiO2 Photocatalysis and Solar Cells
- Catalytic Processes in Materials Science
- Metal Alloys Wear and Properties
- Time Series Analysis and Forecasting
- Advanced Sensor and Control Systems
- Electromagnetic Compatibility and Noise Suppression
- Power Quality and Harmonics
Huazhong University of Science and Technology
2020-2025
University of Science and Technology Beijing
2025
Advanced Technology & Materials (China)
2025
Beijing General Research Institute of Mining and Metallurgy
2025
Zhejiang University of Technology
2021-2024
Inner Mongolia Electric Power (China)
2021-2024
Chinese PLA General Hospital
2024
Lanzhou University
2022-2024
Hefei University of Technology
2022
China Mobile (China)
2021
The distribution of voids in ceramic topcoats (TC) and the micro-roughness metallic bond coat (BC) interfaces are important for structure design coating life thermal barrier (TBC) systems. In this study, finite elemental (FE) models were built by considering those two structural factors to investigate their influence on stress TBCs quenching processes under shock conditions. According simulation analyses, function TCs includes dilution effect concentration at macro-scale, releasing tensile...
Accurately predicting the wind power output of a farm across various time scales utilizing Wind Power Forecasting (WPF) is critical issue in trading and utilization. The WPF problem remains unresolved due to numerous influencing variables, such as speed, temperature, latitude, longitude. Furthermore, achieving high prediction accuracy crucial for maintaining electric grid stability ensuring supply security. In this paper, we model all turbines within graph nodes built by their geographical...
Real-world time series often have multiple frequency components that are intertwined with each other, making accurate forecasting challenging. Decomposing the mixed into single is a natural choice. However, information density of patterns varies across different frequencies, and employing uniform modeling approach for can lead to inaccurate characterization. To address this challenges, inspired by flexibility recent Kolmogorov-Arnold Network (KAN), we propose KAN-based Frequency...
Cascaded H-bridge multilevel converter can generate high-voltage and high-power output with low harmonics. However, the error voltage caused by dead-time effect will distort waveform, which depends on phase current polarity. Since normal compensation method based sampling is often disturbed transmission delay, a novel prediction proposed for of cascaded in this article. This method, phase-shift carrier pulsewidth modulation, reconstructs switch pattern, combined system model, easily predict...
Extraction and separation of copper, zinc, nickel, cadmium from calcium magnesium in concentrated smelting wastewater by synergistic solvent extraction using a mixture 2-hydroxy-5-nonylacetophenone oxime (Mextral 84H) bis(2,4,4 -trimethylpentyl)-phosphinic acid (Cyanex 272) an aliphatic diluent (DT-100) was studied. The effects extractant concentrations, equilibrium pH, organic-to-aqueous phase ratios, system temperature, stripping efficiencies on the performance heavy metals were...
Dead time is generally used to avoid the short circuit of dc source, which causes harmonics in output voltage and current source inverters (VSIs). Based on an accurate calculation model digital sinusoidal pulsewidth modulation, caused by dead can be analyzed calculated accurately. The proposed method obtains compensation waveforms derived module detailed operation steps then injects these into reference eliminate corresponding frequency effect. phase delay fundamental also considered....
Abstract The partial hydrogenation of alkynes into alkenes constitutes a pivotal chemical transformation in the synthesis fine chemicals, pharmaceuticals, and polymers. Nevertheless, extant industrial catalyst falls short achieving felicitous equilibrium between its catalytic potency selectivity. Herein, triphenylphosphine (PPh 3 ) modified Pd/Al 2 O catalysts are fabricated through “one‐pot” process, which achieve highly selective at room temperature. PPh plays dual role—as reducing agent...
This article presents an accurate model of a digitally controlled voltage-source inverter with the dead-time effect. The impact two nonlinear behaviors digital sinusoidal pulsewidth modulation and dead time on output waveform is analyzed in domain. problematic displayed, which highlights necessity establishing new model. In frequency domain, considering effect current double Fourier transform used to give harmonic expression without sign function. Furthermore, this avoids error caused by...
This article presents a closed-form analytical solution to the harmonic spectrum of output voltage single-phase H-bridge inverter, and gives precise considering effects dead time dc bus ripple in digitally controlled system. Since is basic block converters, this can be extended applied variety pulsewidth-modulation-based topologies. The interaction between modulation waveform triangular during process fully analyzed from mathematical perspective so that combined digital sampling, time, on...
Ru/TiO 2 -Vo-250H with the structure of TiO -Vo-partially encapsulated Ru nanoparticles, balances active sites for H dissociation and adsorption 6-chloroquinoline, achieving selective hydrogenation even at room temperature.
Electricity load forecasting has seen increasing importance recently, especially with the effectiveness of deep learning methods growing. Improving accuracy electricity is vital for public resources management departments. Traditional neural network such as long short-term memory (LSTM) and bidirectional LSTM (BiLSTM) have been widely used in forecasting. However, its variants are not sensitive to dynamic change inputs miss internal nonperiodic rules series, due their discrete observation...