A5086146357- Iron oxide chemistry and applications
- Machine Fault Diagnosis Techniques
- Electrical Contact Performance and Analysis
- Non-Destructive Testing Techniques
- Magnetic Properties and Synthesis of Ferrites
- Advanced Algorithms and Applications
- Elevator Systems and Control
- Catalytic Processes in Materials Science
- Smart Grid and Power Systems
- Gas Sensing Nanomaterials and Sensors
- Mesoporous Materials and Catalysis
- Engineering and Test Systems
- Analytical Chemistry and Sensors
- Magnetic Properties and Applications
- Nanoparticle-Based Drug Delivery
- Advanced Sensor and Control Systems
- Mechanical stress and fatigue analysis
- Chemical Synthesis and Characterization
- Adsorption and biosorption for pollutant removal
- Advanced Chemical Sensor Technologies
- Minerals Flotation and Separation Techniques
- Copper-based nanomaterials and applications
- Optimal Power Flow Distribution
- Power Systems and Technologies
- Power Systems and Renewable Energy
Shenyang University of Technology
2021-2025
China Automotive Battery Research Institute
2021
Grinm Advanced Materials (China)
2021
Chinese Academy of Sciences
2008-2013
Institute of Process Engineering
2008-2010
A general method has been developed for the synthesis of homogeneous hollow core−shell microspheres spinel ferrites (MFe2O4, M = Zn, Co, Ni, Cd) by using carbonaceous saccharide as template. The products were characterized X-ray powder diffraction, inductively coupled plasma-atomic emission spectroscopy, scanning electronic microscopy, transmission electron and nitrogen sorption measurement. effects concentration metal salts have studied ZnFe2O4 an example. Increasing could avoid generation...
Here we present a class of formaldehyde (HCHO) gas sensors with strong responses based on ordered mesostructured In2O3 nanorod arrays, which are synthesized via the nanocasting route by directly using solvent-extracted mesoporous silica as hard template. By choosing different pore sizes and interconnectivity templates varying loading indium resource template, have obtained series arrays textural parameters such specific surface area, size, diameter, etc. The sensing properties for specimens...
Uniform alpha-Fe2O3 nanorods with high aspect ratios were synthesized in large scale by a simple and direct 1,2-propanediamine-assisted hydrothermal method. The resultant products characterized x-ray diffraction scanning electron microscopy, transmission microscopy. as-synthesized alpha- Fe2O3 single crystalline uniform, an average ratio greater than 10. effects of various experimental parameters on the morphology products, such as 1,2-propanediamine content, pH value, concentration FeCl3...
Alpha-Fe2O3 hollow micospheres have been successfully synthesized by solvothermal method at 200 degrees C. The products are characterized X-ray diffraction (XRD), field-emission scanning electron microscopy (FESEM), transmission (TEM), and the nitrogen adsorption-desorption isotherm technique. alpha-Fe2O3 microspheres an average diameter of 2-3 microm, shell consists numerous aligned nanorods with length about 200-400 nm. effects solvent reaction time studied. Ostwald ripening mechanism is...
With the deepening of power market reform, further study on trading mechanisms has become core issue study. The development stage industrial electricity requires efficient and flexible pricing mechanisms. Currently available strategies are inadequate for demand response management. Therefore, this paper provides an in-depth mechanism in context reform. It proposes a demand–response-based dynamic strategy parks. method demand-side parks based master–slave game by establishing exogenous model...
In this paper, we address several issues with existing methods for predicting the residual electrical life of railway relays. These include difficulty single feature prediction in characterizing degradation process, neglect temporal and backward–forward correlations low accuracy. To overcome these challenges, propose a novel approach that combines convolutional neural networks (CNNs) bidirectional long short-term memory (BiLSTM) to facilitate relays provide an accurate data basis maintenance...
Abstract In the realm of electrical engineering, this study introduces a novel approach for forecasting transformer operational conditions by leveraging BO-CNN-GRU (Bayesian Optimized Convolutional Neural Network Gated Loop Unit). The initial step involves an in-depth analysis key parameters that significantly impact performance transformer. Then, comprehensive weights each characteristic parameter are obtained G1 method, entropy weight and CRITIC state data is obtained. Finally, BO...
Aiming at the problem of how to accurately and efficiently predict life railroad relays, a relay electrical prediction method integrating XGBoost Informer is proposed. Firstly, DC test system platform set up for testing. Various performance characteristic parameters are extracted from it, which characterize operation relay. Secondly, feature selection used perform data statute screen optimal parameters. Finally, model utilized learn intra-sequence regularities long-range dependencies between...
When conducting condition recognition research on AC contactor vibration signals through time-frequency analysis, the feature data exhibit a high degree of redundancy, which leads to repetitive information and hinders accuracy recognition. To address redundancy issue in features signals, this study introduces selection method based Regularized Random Forest with Recursive Selection (RFRS). Initially, test platform for was established, domain were extracted. Subsequently, traditional (RF)...
Abstract Aiming at the problem that optimal closing phase angle cannot be determined in control of AC contactor, this paper combines finite element model contactor with experimental data to determine range through influence different angles on core speed, time and bounce indexes, then uses entropy weight method each index. The comprehensive evaluation function is constructed power function, obtained. Finally, experiment shows selecting best can greatly reduce impact energy number contact...
Abstract To tackle the challenges of low prediction accuracy caused by single-feature modeling, and hidden state neural network easily loses some information long time series, a method for predicting remaining electrical life AC contactor using convolutional autoencoder-bidirectional gated recurrent unit-attention (CAE-BiGRU-Attention) was proposed in this work. Firstly, feature parameters were extracted from full-life test, an optimal subset selected neighborhood component analysis Spearman...
It has been proved that accurately predicting the hysteresis characteristic between magnetic field intensity (H) and flux density (B) is a more accurate method to calculate iron loss. In order predict characteristic, expression form of vector Play operator improved identification shape function proposed. With modification anisotropic coefficient matrix, model can describe electrical steel sheet under alternating magnetization rotating magnetization. The effectiveness verified by comparing...