Ting Zeng
China Academy of Space Technology
5 Papers
Ting Zeng is an academic researcher from China Academy of Space Technology. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 1, co-authored 1 publications.
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Papers
Assembly state detection technology based on virtual reality for key components of large space deployable mechanism
TL;DR: In this article , the assembly condition detection system of key components of large space deployable mechanisms, realized the installation position detection of key parts with the Histogram of Oriented Gradients and Support Vector Machine as the recognition algorithm of truss joint base and image processing of screws with truss joints, was applied to the assembly of the large space truss mechanism.
Research on size coupling and sensitivity analysis of SAR antenna truss rod
TL;DR: In this paper , the authors defined the assembly sequence, part datum, tolerance, assembly operation, and measurement operation of the model by establishing the tolerance analysis model of the assembly dimension chain and measurement target.
Robotic drilling for the Chinese Chang’E 5 lunar sample-return mission
Tao Zhang,Yong Pang,Ting Zeng,Guoxin Wang,Shen Yin,Kun Xu,Guidong Mo,Xingwang Zhang,Shuai Wang,Zengzeng Zhao,Jun-Min Gong,Zhongxiang Zhao,Zhongwang Yin,Haiyuan Wang,Fan Zhao,Yanhong Zheng,Xiangjin Deng,Wei Wang,Shuangfei Yu,Xiaoming Lai,Xilun Ding +20 more
TL;DR: In this article , a 2m class robotic drill onboard the Chinese Chang'E 5 lunar lander successfully penetrated 1m into the lunar regolith and collected 259.72g of samples.
Performance Margin Modeling and Reliability Analysis for Harmonic Reducer Considering Multi-Source Uncertainties and Wear
TL;DR: A performance margin modeling and reliability analysis for harmonic reducer considering multi-source uncertainties and wear and the results show that the proposed method can provide some suggestions to the design and manufacturing phases of the harmonic reducers.
Accurate Construction Method of Sensor Measurement Network System for In-Situ Manufacturing of Large Aerospace Component
TL;DR: A novel construction method for sensor measurement network systems (SMNS) is proposed to ensure accuracy and reliability in large aerospace component manufacturing, achieving 14.55-17.70% error reduction through uncertainty propagation and configuration optimization.