A5100934075- Energetic Materials and Combustion
- Rocket and propulsion systems research
- Risk and Safety Analysis
- Occupational Health and Safety Research
- Electromagnetic Launch and Propulsion Technology
- Boron and Carbon Nanomaterials Research
- Intermetallics and Advanced Alloy Properties
- Machine Learning in Materials Science
- Thermal Analysis in Power Transmission
- Wind Turbine Control Systems
- Forest, Soil, and Plant Ecology in China
- Engineering Diagnostics and Reliability
- Power Systems and Renewable Energy
- Fault Detection and Control Systems
- Chalcogenide Semiconductor Thin Films
- China's Ethnic Minorities and Relations
- Machine Learning and ELM
- Electronic and Structural Properties of Oxides
- Vacuum and Plasma Arcs
- Lightning and Electromagnetic Phenomena
- Perovskite Materials and Applications
- 2D Materials and Applications
- Vibration and Dynamic Analysis
- Gas Dynamics and Kinetic Theory
China Three Gorges University
2024-2025
China Energy Engineering Corporation (China)
2025
Huazhong University of Science and Technology
2023-2024
Fuzhou University
2024
Hubei University
2009
Background: With the direct-drive wind turbine connected to weak grid, subsynchronous oscillation (SSO) problems occur frequently. The use of traditional control strategies inhibit it has a poor effect and will seriously threaten stability system operation. Methods: This paper initially analyzes factors that give rise based on established sequential impedance model for power grid connection. Through sensitivity analysis parameters, is found proportional gain current loop phase-locked are...
As the most representative and widely utilized hole transport material (HTM), spiro-OMeTAD encounters challenges including limited mobility, high production costs, demanding synthesis conditions. These issues have a notable impact on overall performance of perovskite solar cells (PSCs) based hinder its large-scale commercial application. Consequently, there exists strong demand for high-throughput computational design novel small-molecule HTMs (SM-HTMs) that are cost-effective, easy to...
Abstract Machine learning (ML) techniques have made enormous progress in the field of materials science. However, many conventional ML algorithms operate as “black‐boxes”, lacking transparency revealing explicit relationships between material features and target properties. To address this, development interpretable models is essential to drive further advancements AI‐driven discovery. In this study, we present an framework that combines traditional machine with symbolic regression, using...
Abstract The gun propellant is an inaccessible energy and fuel for projectile to achieve destructive capability in a weapon system. Nitrocellulose/nitroglycerine/triethylene glycol dinitrate(NC/NG/TEGDN) based with higher level than single‐based can meet the demands of modern warfare. Currently, deterring strategy commonly used improve combustion progressivity NC/NG/TEGDN propellant, together aggravating harmful emission phenomena such as muzzle smoke flame. Therefore, it essential design...
Abstract Gun propellant with progressive burning performance plays an important role in improving the comprehensive of barrel weapon. At present, surface‐denitrated gun prepared by removing energetic functional groups (−ONO 2 ) directionally surface layer propellant, is original propellant. In this study, reaction kinetics denitration process spherical was established a simple weighing method based on shrinking unreacted core kinetic model (SUCK model) solid‐liquid reaction. The SEM used to...
Abstract As the core device of vacuum circuit breaker, insulation performance interrupter is closely related to internal structure. In this paper, electric field distribution arc under simulated lightning impulse overvoltage studied. It found that instantaneous intensity at a high level and uniformity poor impulse. order further improve interrupter, paper proposes method based on combination neural network particle swarm optimization (PSO) optimize important structural parameters...
Industrial production process includes complex and high-risk operational procedures. Maintaining safety stability is essential to prevent casualties, equipment damage, asset loss. Traditional management (PSM) on site heavily relies manual inspections video surveillance which inevitably overlook some hidden risks. Therefore, this paper proposes a novel multi-flow integration PSM framework overcome the trouble. Firstly, risk factors of material flow (MF) energy (EF) are systematically analyzed...
Abstract Accidents in process industry occur frequently with serious casualties and property losses. This paper builds an accident causation model of based on system thinking by dividing the into 4 subsystems 22 factors. A combination grey relational analysis correspondence is conducted to carry out a structured collected data. The research contains three main parts: (1) Grey used obtain significance ranking cause factors industry, critical are identified as “Security inspection,” “Risk...