- Microwave Engineering and Waveguides
- Photonic and Optical Devices
- Geomagnetism and Paleomagnetism Studies
- Advanced Adaptive Filtering Techniques
- Characterization and Applications of Magnetic Nanoparticles
- Advanced Antenna and Metasurface Technologies
- Antenna Design and Analysis
- Smart Grid and Power Systems
- Antenna Design and Optimization
- Asphalt Pavement Performance Evaluation
- Human-Automation Interaction and Safety
- Radio Frequency Integrated Circuit Design
- Polymer Nanocomposites and Properties
- Digital Filter Design and Implementation
- Technology Assessment and Management
- Plasmonic and Surface Plasmon Research
- Advanced materials and composites
- Magnetic and Electromagnetic Effects
- Advanced Algorithms and Applications
- Ergonomics and Human Factors
- Healthcare Technology and Patient Monitoring
- Vibration Control and Rheological Fluids
- Radar Systems and Signal Processing
- High-Temperature Coating Behaviors
- Electricity Theft Detection Techniques
Guizhou Electric Power Design and Research Institute
2024
China Electric Power Research Institute
2023
Xi'an Jiaotong University
2020-2023
North China Electric Power University
2023
Beijing Jiaotong University
2017-2022
Huawei Technologies (China)
2021
Kunming University of Science and Technology
2013
The creep and recovery behaviors of lubrication oil based ferrofluids different particle concentration were systematically investigated to understand the viscoelasticity ferrofluids. influence stress level, magnetic field strength temperature on ferrofliuids was studied experimentally microscopic mechanisms behind rheological phenomenon discussed. Linear theory generalized Burgers models employed analyze experimental results. results demonstrate that exhibits unique properties significantly...
The sealing of large diameter rotating shaft in some special applications especially aerospace and military industry needs to be sealed with magnetic fluids. However, the major problems restricting application fluid rotary seal is decrease pressure-re sistance capacity at high temperatures bigger breakaway torque low temperatures. To research effect temperature on pressure-resistance seal, a device size for 190 mm gap 0.1 was designed. Through experimental test studied −55 °C–70 °C °C–20 °C,...
In the process of intelligent driving technology development, performance human–machine systems for high-speed train tasks has been scrutinized and challenged. The human cognitive can be divided into several stages. Within each these stages, automation applied across different levels. However, impact levels at stages on is still unclear. this study, level (LOA) functions are designed, 30 participants recruited to execute orthogonal Latin square experiments. experimental results show that in...
The phenomenon whereby an object whose density is greater than magnetic fluid can be suspended stably in under the field one of peculiar properties fluids. Examples applications based on are sensors and actuators, dampers, positioning systems so on. Therefore, calculation measurement levitation force vital importance. This paper concerns second-order buoyancy experienced by a magnet immersed fluid. expression for calculating was derived, novel method measuring proposed expression. calculated...
A novel structure parameter estimation method for microstrip bandpass filter (BPF) based on multilayer fully connected network (FCN) is proposed in this letter. We design a called the main-sub (MS)-Net, which includes main-network to estimate parameters and subnetwork predict frequency responses of BPFs. Compared with other neural network-based optimization methods, MS-Net can generate its own data during learning process without need collecting sets pretraining network. The estimated by...
This brief proposes a direct synthesis method for dual-band filters based on frequency transformations. can synthesize bandpass (BPFs) with large range of fractional bandwidth (8.5%-56%) and at the same time, wide center ratio (2-4). A novel circuit conversion scheme is proposed to ease difficulty implementing complex reduce sensitivity S parameters values elements significantly (The influence 20% fluctuation inductance <sub xmlns:mml="http://www.w3.org/1998/Math/MathML"...
A parameter extraction method for the LC circuit of a dual-band bandpass filter (DB-BPF) based on fully connected network is proposed in this article. The learning process consists two stages: 1) pretraining and 2) fine-tuning. after has ability to output inaccurate values parameters with desired <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${S}$ </tex-math></inline-formula> -parameters (obtained...
Improving the accuracy of smart meter fault diagnosis is great significance to reliable operation power acquisition systems. Aiming at problems difficult feature extraction and high dimension multi-sensor data meters, based on deep learning, this paper proposes a Deep Belief Network - Least Squares Support Vector Machine (DBN-LSSVM). The belief network trained by unsupervised learning realize data. And least squares support vector machine algorithm used obtain multi-dimensional features in...
Abstract The letter presents a triple‐mode short‐circuited circular patch resonator for bandpass filter (BPF) design. employs the TM 010 mode as its dominant mode, resonant frequency of which is lower than that 110 mode. In addition, four radial slots are etched on to extend current paths and 210 modes, shifting down frequencies two modes. adjacent triple modes can be used design wideband BPF. Meanwhile, centre (CF) bandwidth (BW) tuned by length slots. Furthermore, vias arranged in circle...
With the development of science and technology, requirement intelligent control energy save increases rapidly. From above two points, a new design scheme LED light brightness is proposed in this paper. The would be kept constant designated region. realized by illumination surrounding light. total circuit includes detection circuit. used to examine outside transfer information determines current
A wideband butterfly antenna based on deep learning parameter optimization algorithm is proposed in this paper. Two neural networks are designed to model the mapping relationship of structure parameters frequency response and respectively. The consists two stages: training NN1 optimizing using NN2. verify algorithm. experiment shows that can quickly optimize with best performance save a lot manpower time cost.
Abstract Thermal Barrier Coatings (TBCs) are a fundamental technology for safeguarding aircraft engine blades from high-temperature environments. Under long-term exposure to environment, breakaway oxidation of multi-metallic metals occurs in TBCs. The growth multi-metal oxides and stress evolution the TBCs after is very complex real coating microscopic morphology. In this paper, we use CT image construct model reflective morphology user-defined element (UEL) subroutine involving multi-oxides...
In this paper, a novel design method for reconfigurable bandpass filter with constant absolute bandwidth based on neural network is proposed. This allows designing filters tunable central frequency and bandwidth. A set of inductance capacitance values the center requirements are optimized by using network. Then, optimize to adjust fixed remain unchanged. Experiments show that can multiple LC circuit parameters BPFs same different frequencies effectively accurately.
A corrugated disk resonator with eight grooves is proposed for wideband bandpass filter (BPF) design. Due to the spoof localized surface plasmons resonances of metallic structure, dipole, quadrupole, hexapole modes, and a fundamental mode excited by introduced short-circuited via holes are employed realize four transmission poles (TPs) in passband. The theoretical analysis described electric field current distributions on resonator. resonant frequencies can be tuned easily parameters which...