A5100318893- Advanced Combustion Engine Technologies
- Vehicle emissions and performance
- Machine Fault Diagnosis Techniques
- Biodiesel Production and Applications
- Gear and Bearing Dynamics Analysis
- Combustion and flame dynamics
- Fuel Cells and Related Materials
- Ideological and Political Education
- Advanced Neural Network Applications
- Electrocatalysts for Energy Conversion
- Advanced Image and Video Retrieval Techniques
- Infrastructure Maintenance and Monitoring
- Aerodynamics and Fluid Dynamics Research
- Lubricants and Their Additives
- Advanced Battery Technologies Research
- Underwater Vehicles and Communication Systems
- Robotics and Sensor-Based Localization
- Digital Transformation in Industry
- Remote-Sensing Image Classification
- Maritime Navigation and Safety
- Refrigeration and Air Conditioning Technologies
- Fault Detection and Control Systems
- Educational Reforms and Innovations
- Advanced Surface Polishing Techniques
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
North China University of Water Resources and Electric Power
2014-2025
Zhejiang Normal University
2023
State Grid Corporation of China (China)
2023
North China University of Technology
2022-2023
Zhongyuan University of Technology
2023
PowerChina (China)
2021
Soochow University
2021
Hubei University of Technology
2020
Institute of Scientific and Technical Information of China
2019
Institute of Scientific and Technical Information
2019
Under the dual pressure of energy conservation and environmental protection, internal combustion engine industry is facing huge challenges, it imperative to find new clean energy. Hydrogen expected replace traditional fossil fuels as an excellent fuel for engines because its clean, continuous regeneration good performance. This review article focuses on research development blended hydrogen-fuel in China since beginning this century. The main achievements gained by Chinese researchers...
The vibration signal of mechanical equipment in operating environments is the key to describing fault characteristics, but due thez influence density and environmental interference, accuracy diagnosis often affected by noise. In this paper, a method based on 1D Multi-Channel Improved Convolutional Neural Network (1DMCICNN) proposed. By introducing BiLSTM, an attention mechanism local sparse structure two-channel Network, feature information noisy timing fully extracted at different scales...
Water splitting is an important way to obtain hydrogen applied in clean energy, which mainly consists of two half-reactions: evolution reaction (HER) and oxygen (OER). However, the kinetics OER water splitting, occurs at anode, slow inefficient, especially acid. Currently, main catalysts are still based on noble metals, such as Ir Ru, active components. Hence, exploration new with low cost, high activity, stability has become a key issue research electrolytic production technology. In this...
The specific heat of aqueous graphene+Al2O3 (1:1) hybrid nanofluid was measured using the cooling method. influence nanoparticle mass fraction and temperature on capacity nanofluids investigated, compared with that graphene oxide Al2O3 nanofluid. A fitted formula proposed based experimental data. It indicates reduction ratio increases increase maximum is 7% at 0.15 wt.% 20?C. affects more significantly lower temperature. Temperature impacts distinctly than fraction. diminishes from 20?C to...
Thermal ice storage has gained a lot of interest due to its ability as cold energy storage. However, low thermal conductivity and high supercooling degree have become major issues during cycling. For reducing the cost making full use advantages graphene oxide–Al2O3, this study proposes heat transfer enhancement using novel hybrid nanofluids aqueous oxide–Al2O3. oxide–Al2O3 nanofluid was measured experimentally over range temperatures (0–70 °C) concentrations. mixing with nanoparticles...
With environmental issues arising from the excessive use of fossil fuels, clean energy has gained widespread attention, particularly application lithium-ion batteries. Lithium-ion batteries are integrated into various industrial products, which necessitates higher safety requirements. Narrowband Internet Things (NB-IoT) is an LPWA (Low Power Wide Area Network) technology that provides IoT devices with low-power, low-cost, long-endurance, and wide-coverage wireless connectivity. This study...
Energy shortages and environmental problems have brought many challenges to China's development. In the field of transport, hydrogen energy has become a new type that people pay attention due its easy production nonpolluting generation. The use as fuel in internal combustion engines can be good way make low-cost clean conversion current engine, thus realizing application vehicles. this study, hydrogen-fueled (HICEs) are focus. A review analysis topical issues encountered developmental...
We report the determination of Land\'{e} $g_J$ factor and Zeeman coefficients for ground-state $^{171}$Yb$^+$, relevant to microwave quantum frequency standards (QFSs). The is obtained by using two independent methods: multiconfiguration Dirac-Hartree-Fock multireference configuration interaction, yielding a consistent value 2.002615(70). first- second-order are determined as 14,010.78(49) Hz/$\mu$T 31.0869(22) mHz/$\mu$T$^2$, respectively, based on calculated factor. These enable reduced...
Since passive vibration isolation is used to solve the problem of underwater crushing device difficult isolate low-frequency effectively, and most active control methods usually focus on cutting down finite modes, which has limitations, this paper proposes a composite adaptive strategy combining model predictive fuzzy control, designs set system based Fuzzy-MPC. Firstly, mathematical constructed principle with as object. Then discretized be adapted digital simulation, design MPC controller...
Defect detection is crucial for quality control in industrial products. The defects products are typically subtle, leading to reduced accuracy detection. Furthermore, defect often necessitates high efficiency order meet operational demands. Deep learning-based algorithms surface have been increasingly applied production processes. Among them, Swin-Transformer achieves remarkable success many visual tasks. However, the computational burden imposed by numerous image tokens limits application...
Object detection is essential for the perception systems of intelligent driving vehicles. RT-DETR has emerged as a prominent model. However, its direct application in vehicles still faces issues with misdetection occluded or small targets. To address these challenges, we propose High-Precision Real-Time object algorithm (HPRT-DETR). We designed Basic-iRMB-CGA (BIC) Block backbone network that efficiently extracts features and reduces model’s parameters. thus Deformable Attention-based...