A5017085157- Metallic Glasses and Amorphous Alloys
- Electric Vehicles and Infrastructure
- Industrial Technology and Control Systems
- Energy Load and Power Forecasting
- Traffic control and management
- Traffic Prediction and Management Techniques
- Advanced Algorithms and Applications
- Material Dynamics and Properties
- Advanced Battery Technologies Research
- Advanced Control Systems Optimization
- Vehicle Dynamics and Control Systems
- Robotic Path Planning Algorithms
- Railway Systems and Energy Efficiency
- Elevator Systems and Control
- Microgrid Control and Optimization
- Power Systems and Renewable Energy
- Wastewater Treatment and Nitrogen Removal
- Prosthetics and Rehabilitation Robotics
- Glass properties and applications
- High-Voltage Power Transmission Systems
- Wind Turbine Control Systems
- Adaptive Control of Nonlinear Systems
- Machine Fault Diagnosis Techniques
- HVDC Systems and Fault Protection
- Advanced Manufacturing and Logistics Optimization
Lanzhou Jiaotong University
2015-2025
Lanzhou University of Technology
2013-2018
Chinese Academy of Sciences
2004-2014
Shanghai Institute of Ceramics
2013-2014
Institute of Physics
2003-2007
Microstructural investigation of an as-cast Cu47.5Zr47.5Al5 bulk metallic glass (BMG) reveals two amorphous phases formed by liquid phase separation. The morphology the separated regions is spherical with 10–20nm in size. These areas are homogeneously distributed throughout sample. Moreover, a macroscopic heterogeneity also occurs along nano-scale can be distinguished from different degree chemical fluctuations sample, and existence crystals less than 5nm Presumably, both separation enhance...
Abstract With the increase of substation voltage level and local installation relay protection equipment, electromagnetic disturbance in working environment equipment is more complex intense. Firstly, this paper analyzes characteristics steady-state sources transient high-voltage substations. Secondly, conductive generated by Multisim building an electric fast pulse group generating circuit. Finally, radiation coupling simulation model space to secondary cables established, simulated,...
Abstract Predicting CO 2 concentration in post‐combustion carbon capture (PCC) systems is challenging due to complex operating conditions and multivariate interactions. This study proposes an enhanced RIME algorithm (ERIME) optimization‐based convolutional neural network (CNN)‐long short‐term memory (LSTM)‐multi‐head‐attention (ECLMA) model improve prediction accuracy. The local outlier factor (LOF) was used remove noise from the data, while mutual information (MI) determined time lags,...
Abstract Short-term day-ahead photovoltaic power prediction is of great significance for system dispatch plan formulation. In this work, to improve the accuracy prediction, a TCN-Wpsformer (temporal convolutional network-window probability sparse Transformer) model based on combining data restoration and FCM (fuzzy C means) cluster proposed. The time code dataset obtained after clustering was spliced with location code. A temporal neural network introduced extract segment features...
Shunting operation plan is the main daily work of freight train depot, optimization shunting great significance to improve efficiency railway and production transportation. In this paper, deep reinforcement learning (DRL) environment model problem are constructed by three elements: action, state reward, taking locomotive as agent, lane number fall-down group conditions state, design reward function based on total hooks generated after group’s descent reorganization. The solved using Deep Q...
Abstract The wind power generation system of a 5 MW horizontal axis turbine has high energy conversion efficiency. proportion installed capacity in practical production applications is increasing year on year, so that the stability its operation becomes central factor determining productivity farm question. This paper takes as research object and proposes parameter‐adaptive robust model predictive control method to achieve self‐optimization controller parameters through Bayesian optimization...
Parameter identification of the dynamic model collaborative robots is basis development robot motion state control, path tracking, monitoring, fault diagnosis, and tolerance systems, one core contents research. Aiming at parameters robot, this paper proposes an algorithm based on weighted least squares random particle swarm optimization (WLS-RWPSO). Firstly, dynamics mathematical established using Lagrangian method, to be identified are determined, linear form derived taking into account...
A series of new families heavy rare-earth (RE) based bulk metallic glasses (BMGs) with excellent glass-forming ability and high thermal stability have been obtained by a copper mold casting method. Compared the light RE-based BMGs, BMGs much higher glass transition crystallization temperatures elastic moduli. It is found that closely correlated constants in BMGs. The correlations are useful for guiding BMG-forming alloy design to enhance stability.
We report the observation of heavy-fermion behavior in cerium-based bulk metallic glasses with an inherent strong structural disorder. The $4f$ electrons shows unique features not found crystalline materials. distribution $f$ levels due to disorder produces internal variation from Kondo regime valence fluctuation regime, at crossover. might provide a model system investigate some longstanding issues electron correlation complex solids.
Abstract Aiming at the characteristics of strong non‐linearity and large inertia in reaction process a selective catalytic reduction (SCR) denitrification system, predictive control algorithm based on back propagation neural network optimized by genetic (GA‐BP) particle swarm optimization (PSO) is proposed. First, prediction model SCR system established GA‐BP. Second, output feedback bias correction are used to reduce error. Third, optimal inlet ammonia concentration obtained PSO. At same...
Carbon neutralization has become a global consensus for green development, and solar photovoltaic power generation one of the key technologies carbon reduction. The presence dust on module affects generation, so trajectory tracking control removal robotic arm modules is great significance improving efficiency. In this study, composite strategy based model predictive designed to track desired angle each joint, which objective module's cleaning arm. consists controller disturbance observer....
A static synchronous compensator topology with an improved MMC (MMC-STATCOM) is proposed in this study after analyzing the modular converter (MMC) topology. The uses fewer low-voltage power switching elements and more economical compared to traditional MMC. In traction supply environment without balancing equipment, DC-side voltage control of studied depth, a three-level strategy established. first level total control, which achieves energy exchange between system through active achieve...
The charging behavior of electric vehicle users is highly stochastic, which makes the short-term prediction load at stations difficult. In this paper, a data-driven hybrid model optimized by improved dung beetle optimization algorithm (IDBO) proposed to address problem low accuracy prediction. Firstly, station data are preprocessed obtain clear and organized data, input feature matrix constructed using factors such as temperature, date type, holidays. Secondly, optimal CNN-BiLSTM...
Abstract The proportion of insulators in aerial power patrol images is small and the background overhead lines complex, often leading to incomplete inaccurate detection insulators. Therefore, an algorithm for detecting insulator targets based on multi‐feature fusion developed this study. Firstly, a dynamic threshold oriented fast rotated brief proposed, which uses bag‐of‐words dictionary model determine local shape features image, applies gradient weighting global texture feature vector...
In order to overcome the shortcoming of large switching losses caused by variable frequency appears in conventional finite control set model predictive (FCS-MPC) algorithm, a direct power (MP-DPC) for an energy storage quasi-Z-source inverter (ES-qZSI) is proposed.Firstly, prediction ES-qZSI established based on instantaneous theory.Then average voltage vector coordinate system optimized cost function.Finally, used as modulation signal, and corresponding signal with fixed generated...
The low-temperature specific heat of ${\mathrm{Cu}}_{50}{\mathrm{Zr}}_{50}$ binary bulk metallic glass is systemically measured from $1.8\phantom{\rule{0.3em}{0ex}}\mathrm{K}\phantom{\rule{0.3em}{0ex}}\text{to}\phantom{\rule{0.3em}{0ex}}50.5\phantom{\rule{0.3em}{0ex}}\mathrm{K}$. obvious effect the tunneling states determined at several Kelvin by both and electrical resistivity. density electron-assisted in exceed typical value insulating glasses below...
Abstract Some double-circuit transmission lines are untransposed, which results in complex coupling relations between the parameters of lines. If traditional modal transformation matrix is directly used to decouple parameters, it can lead large errors decoupled parameter, will be amplified fault location equation. Consequently, makes untransposed less accurate. Therefore, a new method needed parameter and realize according parameter. By improving basis Karrenbauer matrix, suitable for...
Virtual synchronous generator (VSG) can simulate turning and damping characteristics, which further improve the penetration rate of renewable energy in grid. However, output impedance virtual medium low voltage microgrids is dominated by resistance, leads to coupling active/reactive power affects grid integration control effect, phase VSG will be biased absence a pre-synchronization link. For this purpose, strategy grid-connected with proposed. Firstly, mathematical model established...