- Gear and Bearing Dynamics Analysis
- Tribology and Lubrication Engineering
- Antenna Design and Analysis
- Energy Harvesting in Wireless Networks
- Advanced machining processes and optimization
- Advanced Measurement and Metrology Techniques
- Wireless Power Transfer Systems
- Adaptive Control of Nonlinear Systems
- Advanced Fiber Optic Sensors
- Photonic and Optical Devices
- Mechanical Engineering and Vibrations Research
- Mechanics and Biomechanics Studies
- Neural Networks Stability and Synchronization
- Advanced Numerical Analysis Techniques
- Distributed Control Multi-Agent Systems
- Rough Sets and Fuzzy Logic
- Adhesion, Friction, and Surface Interactions
- Iterative Learning Control Systems
- Logic, Reasoning, and Knowledge
- Metal Forming Simulation Techniques
- Anomaly Detection Techniques and Applications
- Photonic Crystal and Fiber Optics
- Microwave Engineering and Waveguides
- Image Retrieval and Classification Techniques
- Metallurgy and Material Forming
Southwestern University of Finance and Economics
2023-2025
Liaoning University of Technology
2023-2024
Henan University of Science and Technology
2008-2023
José Rizal University
2023
Southwest Petroleum University
2022
Chongqing University
2022
Nanjing University of Aeronautics and Astronautics
2018-2019
Chongqing University of Technology
2011-2018
Tiangong University
2014
Beijing University of Posts and Telecommunications
2013
Federated Foundation Models (FedFMs) represent a distributed learning paradigm that fuses general competences of foundation models as well privacy-preserving capabilities federated learning. This combination allows the large and small local domain at remote clients to learn from each other in teacher-student setting. paper provides comprehensive summary ten challenging problems inherent FedFMs, encompassing foundational theory, utilization private data, continual learning, unlearning,...
This paper proposes a new approach to design pinion machine tool-settings for spiral bevel gears by controlling contact path and transmission errors. It is based on the satisfaction of condition three given control points tooth surface. The meshing are controlled be predesigned straight that meets pre-designed parabolic function Designed separately, magnitude errors orientation subjected precise control. In addition, in order meet manufacturing requirements, we suggest modify values blank...
Transmission errors and contact pattern have de- terminative effects on the gearing performances of a gear drive, so new approach for design spiral bevel gears is proposed, based predesigned parabolic function transmission er- rors with limited magnitude maximal linear path.This three meshing points.By controlling their magnitudes positions tooth surface,the allover control engagement quality realized.The advan- tages function-oriented active surface are reduction level noise obtaining...
Based on the theory of rack-gear common-tangential conjugate generating, constructing ease-off surface has been done by means topology modification polynomial surface. By analyzing topological structure characteristics surface, meshing such as contact area, line, and transmission error are determined. using geometric analysis potential energy method, calculation methods gear tooth stiffness loaded given, a series results for stiffness, error, load distribution map under varied loads...
Transmission errors and contact pattern have determinative effects on the meshing performances of a gear drive,so new approach for designing pinion surface spiral bevel gears is proposed,based predesigned parabolic function transmission with limited magnitude maximal linear path.This based three points.By controlling their magnitudes positions tooth surface,the whole process control engagement quality realized.In addition,in order to meet different manufacturing reguirements,the value work...
The cross-sensitive function of fiber Bragg grating (FBG) is deduced and analyzed theoretically in detail from the perspective its physical mechanism when FBG affected by temperature transverse pressure. Meanwhile, examples different external factors parameters are considered for illustration purposes. Furthermore, with numerical simulation, some valuable suggestions about how to reduce systematic error improve measurement accuracy put forward as well. proposed theoretical study may help...
A method is proposed to manufacture spiral bevel gear by duplex spread blade based on 4-axis CNC milling machine. Firstly, the geometry parameters and machine-tool settings are comprehensively considered. To meet with tooth taper, a new way raised select reference point. Then calculated that only first-order mesh performance guaranteed in Therefore conjugate surface modified represented as second-order polynomial optimize performance, result target established, according sensitivity matrix...
Summary This paper investigates an observer‐based adaptive robust fuzzy formation tracking control method for nonlinear multi‐agent systems (MAS) with input delay. The considered MAS contains the unknown functions, that is, unmeasured states. logic (FLS) are used to approximate and then a state observer is designed estimate Pade approximation approach introduced solve delay issue. By combining command filtering backstepping recursive techniques, prescribed performance output feedback...
摘要: 为了得到准确的螺旋锥齿轮数字孪生体模态参数,通过螺旋锥齿轮的模态试验,得到了自由模态的模态频率、模态振型、频响函数;计算了自模态置信准则度矩阵(Auto MAC),各阶模态相关性很低,表明模态试验提取的模态振型具有较好的准确性。以各阶试验模态频率为目标,修正螺旋锥齿轮的物理属性并进行模态仿真,得到自由模态的模态频率、模态振型、频响函数。与模态试验结果对比,最大模态频率偏差为1.235%;计算了试验与数字孪生体模态振型的互模态置信准则度矩阵(Cross MAC),表明数字孪生体模态振型与试验模态振型具有较好的一致性;试验和仿真频响函数对比进一步验证了数字孪生体模态分析的准确性。对数字孪生体的模态仿真不仅可以辨识出由于试验条件限制无法测试出的模态参数;通过试验与仿真模态振型Cross MAC与试验模态振型的Auto MAC对比,还可以识别出试验误差较大的模态参数。试验和仿真对比分析表明本文方法构造的螺旋锥齿轮数字孪生体模型是准确的,可以解决由于试验条件限制测不全和测不准的问题。