A5066755402- Robotic Mechanisms and Dynamics
- Machine Fault Diagnosis Techniques
- Gear and Bearing Dynamics Analysis
- Network Traffic and Congestion Control
- Caching and Content Delivery
- Advanced Surface Polishing Techniques
- Piezoelectric Actuators and Control
- Mechanical Engineering and Vibrations Research
- Advanced Optical Network Technologies
- Soft Robotics and Applications
- Advanced Measurement and Metrology Techniques
- Hydraulic and Pneumatic Systems
- Optical Systems and Laser Technology
- Distributed and Parallel Computing Systems
- Prosthetics and Rehabilitation Robotics
- Opportunistic and Delay-Tolerant Networks
- Software-Defined Networks and 5G
- Iterative Learning Control Systems
- Advanced Sensor and Control Systems
- Internet Traffic Analysis and Secure E-voting
- Advanced Algorithms and Applications
- Advanced machining processes and optimization
- Industrial Technology and Control Systems
- Optical Network Technologies
- Engineering Diagnostics and Reliability
China University of Mining and Technology
2016-2025
Imperial College London
2023-2025
Anhui University of Science and Technology
2022-2024
North China Institute of Science and Technology
2024
Baidu (China)
2021-2023
Henan Polytechnic University
2023
Donghua University
2023
Zhengzhou University
2023
China University of Political Science and Law
2022-2023
Open University of China
2023
Combining energy harvesting with storage systems in a single device could offer great advantages for continuous power supply both indoor and outdoor electric applications. In this work, we demonstrate photochargeable sodium-ion battery (PSIB) based on photoactive cathode of two-dimensional crystals MoSe2. This photocathode enables spontaneous photodriven charging under illumination an increase the reversible capacity to 29% at 600 mA g-1 compared that dark conditions during galvanostatic...
Smart devices bring us the ubiquitous mobile accessing to Internet, making Internet grow rapidly. Using traffic data collected at core metropolitan 2G and 3G networks of China over a week, this paper studies user behavior from three aspects: 1) usage; 2) mobility pattern; 3) application usage. We classify users into different groups study resource consumption in Internet. observe that heavy high tend consume massive radio resources simultaneously. Both usage pattern are closely related...
Given local weak feature information, a novel extraction and fault diagnosis method for planetary gears based on variational mode decomposition (VMD), singular value (SVD), convolutional neural network (CNN) is proposed. VMD was used to decompose the original vibration signal components. The matrix partitioned into number of submatrices information contained in each submatrix extracted as vector using SVD. corresponding current state constructed according location submatrix. Finally, by...
For planetary gear has the characteristics of small volume, light weight and large transmission ratio, it is widely used in high speed power mechanical system. Poor working conditions result frequent failures gear. A method proposed for diagnosing faults based on permutation entropy Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) Neuro-fuzzy Inference System (ANFIS) this paper. The original signal decomposed into 6 intrinsic mode functions (IMF) residual...
State estimation (SE) is indispensable for the situational awareness of power systems.Conventional SE fed by measurements collected from supervisory control and data acquisition (SCADA) system.In recent years, available sources have been greatly enriched with deployment phasor measurement units (PMUs), advanced metering infrastructure (AMI), intelligent electronic devices (IEDs), etc.The integration multiple provides unprecedented opportunities enhancing performance SE, but also presents...
3D printed electrodes of 1T′/1T MoS 2 /TiS nanosheets without conductive additives have been demonstrated to perform for durable supercapacitors.
Rolling bearings are important supporting components of large-scale electromechanical equipment. Once a fault occurs, it will cause economic losses, and serious accidents affect personal safety. Therefore, research on rolling bearing diagnosis technology has engineering practical significance. Feature extraction with high price density identification two keys to overcome in the field bearings. This study proposes feature method based variational modal decomposition (VMD) sample entropy also...
False data injection attacks (FDIAs) can bypass conventional bad detection methods. Recently developed FDIA methods based on statistical consistency of measurement values may not work effectively when false do significantly deviate from historical trends. They also mistakenly treat actual power grid events as FDIAs. In this paper, a highly discriminative detector named the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math...
The accuracy and stability of robotic systems are significantly influenced by joint clearances, especially in precision applications like optical mirror polishing. This study focuses on a 5-DOF (Degree Freedom) parallel manipulator designed for conducts dynamic modeling incorporating prismatic clearance examines the resulting response. Previous studies have primarily focused planar mechanisms with rotational or ball whereas research manipulators spatial clearances remains limited. introduces...
Poor working environment leads to frequent failures of planetary gear trains. However, complex structure and variable transmission make the vibration signal strongly non-linear non-stationary, which brings big problems fault diagnosis. A method diagnosis via feature image extraction based on multi central frequencies frequency spectrum is proposed. The original decomposed by variational mode decomposition (VMD), four components with narrow bands independent are decomposed. In order retain as...
The accurate identification of permanent magnet synchronous motor (PMSM) parameters is the basis for high-performance drive control. traditional PMSM multiparameter method experiences problems with uncertainty results and low accuracy due to under-ranking mathematical model A based on a reference adaptive system simulated annealing particle swarm optimization (MRAS-SAPSO) proposed here. algorithm first identifies electrical (stator winding resistance R, cross-axis inductance L, magnetic...
The rapid development of the Intelligent connected vehicle (ICV) industry has stimulated technological innovation in energy and communication while also highlighting need for effective policies road safety measures. Understanding addressing issues context ICVs can contribute to ICV safe driving. This paper employs a knowledge mapping approach scientifically intuitively demonstrate research on over last decade. By utilizing bibliometric tools such as CiteSpace, VOSviewer, SciMAT, total 3661...