A5035687118- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Power Transformer Diagnostics and Insulation
- Quantum Chromodynamics and Particle Interactions
- High voltage insulation and dielectric phenomena
- Particle Detector Development and Performance
- Magnetic Properties and Applications
- Machine Fault Diagnosis Techniques
- High-Voltage Power Transmission Systems
- Advanced Sensor and Control Systems
- Power Systems Fault Detection
- Aerosol Filtration and Electrostatic Precipitation
- Lightning and Electromagnetic Phenomena
- Manufacturing Process and Optimization
- Engineering Diagnostics and Reliability
- Electrical Fault Detection and Protection
- Industrial Vision Systems and Defect Detection
- Smart Grid and Power Systems
- Black Holes and Theoretical Physics
- Dark Matter and Cosmic Phenomena
- Adaptive Control of Nonlinear Systems
- Power System Reliability and Maintenance
- Combustion and Detonation Processes
- Control and Dynamics of Mobile Robots
- Neutrino Physics Research
Central China Normal University
2024-2025
China Southern Power Grid (China)
2015-2025
Shenzhen Technology University
2024
Chongqing University
2021
Dongguan University of Technology
2017-2020
South China University of Technology
2015
University of California, Irvine
2010-2013
Yale University
2011-2012
Lawrence Berkeley National Laboratory
2011
Mobile robots tracking a reference trajectory are constrained by the motion limits of their actuators, which impose requirement for high autonomy driving capabilities in robots. This paper presents model predictive control (MPC) scheme incorporating neural-dynamic optimization to achieve nonholonomic mobile (NMRs). By using derived tracking-error kinematics robots, proposed MPC approach is iteratively transformed as quadratic programming (QP) problem, and then primal-dual neural network used...
In this paper, we have developed a novel visual servo-based model predictive control method to steer wheeled mobile robot (WMR) moving in polar coordinate toward desired target. The proposed scheme has been realized at both kinematics and dynamics levels. steering controller generates command of velocities that are achieved by employing low-level motion controller, while the directly torques used WMR presence constraints, design is carried out using quadratic programming (QP) for optimal...
Abstract Oil-impregnated paper (OIP) bushings are essential equipment for connecting transformer windings and external busbars, the damp state of their insulating is a critical factor in determining safe stable operation. In recent years, frequency domain spectroscopy (FDS) technology has continually been utilized to evaluate bushings. However, existing FDS studies mainly focus on uniformly damped OIP bushings, with limited research nonuniform moisture states Therefore, this article predicts...
Under the international background of transformation and promotion manufacturing, Chinese government proposed “Made in China 2025” strategy, which focused on improvement a quality-based innovation ability. Moreover, predicting manufacturing quality is one crucial measures for management. Accurate prediction closely related to feature learning processes. Therefore, two categories intelligent approaches, i.e., shallow deep learning, are investigated compared this paper. Specifically, feed...
The research on intelligent diagnostic models for power transmission and transformation equipment has attracted increasing interest. In the design of practical models, supervised learning strategy is often used. This put forward higher requirements number labeled data. However, in industrial applications, cost collecting a large relevant data effectively labeling high. At same time, case unknown faults, lack prior knowledge makes accurate classification difficult to achieve. work designs...
A 56-day aging test of polyvinyl chloride (PVC) cable material under hot and humid conditions was conducted, followed by tests on flame retardancy after varying degrees wet heat aging, including vertical burning behavior, oxygen index, afterflame time. Using molecular dynamics simulation theory, the mechanism behind changes in flame-retardant properties investigated based experimental observations. The results indicate that, as progresses, brightness decreases, index increases, afterglow...
UV imager has promising application prospect in the detection of corona discharge because its advantages, such as high sensitivity, intuitive and non-contact detection. In order to make better use ultraviolet detect voltage electrical equipment, experiments are carried out observe insulator using DayCor <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">®</sup> Superb this paper. During experiments, voltages applied on a FXBW-35/70 insulator, was...
The converter transformer is a special power that connects the bridge to AC system in HVDC transmission system. Due structure of transformer, it necessary test its operation state during manufacture and processing ensure safety future connection grid. Numerous studies have shown vibration signals transformers can reflect their operating state. Therefore, order achieve an effective identification this paper proposes method for identifying based on detection technology deep belief network...
As the capacity of power systems grows, need for quick and precise short-circuit fault location becomes increasingly vital ensuring safe continuous supply power. In this article, we propose a method that utilizes electromagnetic transient convolution (EMTC). We assess performance naive EMTC implementation in multi-phase lines by using frequency-dependent parameters real simulation, while constant pre-calculation. Our results show error increases as distance between measurement increases....
Abstract The winding current harmonic content of converter transformer in operation is rich. However, affected by harmonics, the radial vibration characteristics are quite different from power transformer, structural loosening and deformation caused more prominent. Therefore, view influence harmonics on axial vibrations, this study builds a 3D electromagnetic finite element simulation model, analyses components contents compares leakage flux distribution under fundamental, superimposed...
Grasping unknown objects with multi-fingered hands at high success rates and in real-time is an unsolved problem. Existing methods are limited the speed of grasp synthesis or ability to synthesize a variety grasps from same observation. We introduce Five-finger Hand Net (FFHNet), ML model which can generate wide high-quality for unseen single view. Generating evaluating FFHNet takes only 30ms on commodity GPU. To best our knowledge, first ML-based system grasping perform inference 30 frames...
The X model is a conventional tool of frequency-domain spectroscopy (FDS) technology for assessing the insulation state oil-impregnated paper (OIP) bushings. However, accuracy and applicability are questionable because it overlooked effect nonuniform thermal aging, there no models mathematical formulas that can be applied to thermal-aged OIP To solve this issue, an enhanced proposed by considering radial axial aging model's formula was deduced initially. Then, complex relative permittivity...
This research employs a high temporal resolution particle imaging velocimetry system to observe the entire bridging process of cellulose particles in insulating oil from microscopic perspective. The analysis focuses on dynamic behaviors that play significant role and provided an in-depth elucidation mechanism. By analyzing motion characteristics particles, mechanisms including charging, polarization, charge transfer, inter-particle interactions were discussed. space polarization effect...
This study presents a novel method for measuring the collisional charge of micron-sized particles in insulating oil. Specific studies involves micron carbon and cellulose oil fitting data to develop calculation formulas under various charging modes. The developed provide crucial impurity particle migration aggregation oil-immersed power equipment. also examines impact wall material, size, electric field intensity on Charging Characteristics particles. is proportional their surface area. As...
This article proposes an effective approach to solve the network reconfiguration problem during power system restoration. In stage of reconfiguration, sequence line energizing, plan restore critical loads each bus, and start generating units should be confirmed. The proposed technique is based on adaptively tunable fuzzy logic controller, in which membership functions are tailored according inputs adaptively. this way, restoration generators can determined uniquely. strategy tested IEEE...
Manufacturing quality prediction can be used to design better parameters at an earlier production stage. However, in complex manufacturing processes, performance is affected by multi-parameter inputs. To address this issue, a deep regression framework based on manifold learning (MDRN) proposed paper. The inputs (i.e., high-dimensional information) were firstly analyzed using (ML), which effective nonlinear technique for low-dimensional feature extraction that enhance the representation of...
Internal electrical fault of converter transformer may generally cause high-energy arc. arc will lead to rapidly increasing dynamic oil pressure and tank rupture. The leakage with high temperature fire. Whether the mechanical strength for can withstand this is decisive factor determine whether a fire occurs. In paper, characteristics, such as stress deformation under internal are simulated analyzed by FEM method, some technical measures, flexible tank, reduce probability rupture proposed....
Manufacturing quality prediction performance is influenced by multi-parameter in manufacturing multi-stage processes. To solve this problem, a two-step feature learning approach (TFLR) proposed paper. For the first step learning, (high-dimensional information) learned manifold algorithm (ML), which can enhance representation of inputs and reduce calculation burdens. second features low-dimensional information obtained ML are deep technique, learn sufficient pattern between through layer-wise...