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A new principle and device for large aircraft components gaining accurate support by ball joint 被引量:2
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作者 Bao-gui QIU Jun-xia JIANG Ying-lin KE 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 SCIE EI CAS CSCD 2011年第5期405-414,共10页
How to obtain an accurate support for large components by ball joint is a key process in aircraft digital assembly. A novel principle and device is developed to solve the problem. Firstly, the working principle of the... How to obtain an accurate support for large components by ball joint is a key process in aircraft digital assembly. A novel principle and device is developed to solve the problem. Firstly, the working principle of the device is introduced. When three or four displacement sensors installed in the localizer are touched by the ball-head, the spatial relation is calculated between the large aircraft component's ball-head and the localizer's ball-socket. The localizer is driven to achieve a new position by compensation. Relatively, a support revising algorithm is proposed. The localizer's ball-socket approaches the ball-head based on the displacement sensors. According to the points selected from its spherical surface, the coordinates of ball-head spherical center are computed by geometry. Finally, as a typical application, the device is used to conduct a test-fuselage's ball-head into a localizer's ball-socket. Positional deviations of the spherical centers between the ball-head and the ball-socket in the x, y, and z directions are all controlled within ±0.05 mm under various working conditions. The results of the experiments show that the device has the characteristics of high precision, excellent stability, strong operability, and great potential to be applied widely in the modern aircraft industry. 展开更多
关键词 Aircraft digital assembly Large aircraft component accurate support Ball joint Displacement sensor Three coordinate numerical control localizer
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The Study Dynamics of Accurately Targeted Poverty Alleviation
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作者 Guang-yan CHEN Tian-hui ZHUANG 《International Journal of Technology Management》 2015年第11期10-13,共4页
The accurately targeted poverty alleviation has gradually become one of the important research directions in the field of poverty research. The existing foreign and domestic studies concerning about the accurately tar... The accurately targeted poverty alleviation has gradually become one of the important research directions in the field of poverty research. The existing foreign and domestic studies concerning about the accurately targeted poverty alleviation are few and mainly focus on the aspects such as poverty object recognition, target for poverty alleviation, and fund embarking; a complete system has not yet been formed for the relevant studies. On the basis of analyzing and reviewing relevant studies on the accurately targeted poverty alleviation at home and abroad, a further research direction for the accurately targeted poverty alleviation is proposed in this paper. 展开更多
关键词 accurately Targeted Poverty Alleviation POVERTY accurate Recognition accurate supports accurate Management
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Online Fault Prediction Based on Combined AOSVR and ARMA Models
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作者 Da-Tong Liu Yu Peng Xi-Yuan Peng 《Journal of Electronic Science and Technology of China》 2009年第4期303-307,共5页
Accurate fault prediction can obviously reduce cost and decrease the probability of accidents so as to improve the performance of the system testing and maintenance.Traditional fault prediction methods are always offl... Accurate fault prediction can obviously reduce cost and decrease the probability of accidents so as to improve the performance of the system testing and maintenance.Traditional fault prediction methods are always offline that are not suitable for online and real-time processing.For the complicated nonlinear and non-stationary time series,it is hard to achieve exact predicting result with single models such as support vector regression(SVR),artifieial neural network(ANN),and autoregressive moving average(ARMA).Combined with the accurate online support vector regression(AOSVR)algorithm and ARMA model,a new online approach is presented to forecast fault with time series prediction.The fault trend feature can be extracted by the AOSVR with global kernel for general fault modes.Moreover,its prediction residual that represents the local high-frequency components is synchronously revised and compensated by the sliding time window ARMA model.Fault prediction with combined AOSVR and ARMA can be realized better than with the single one.Experiments on Tennessee Eastman process fault data show the new method is practical and effective. 展开更多
关键词 accurate online support vector regression(AOSVR) autoregressive moving average(ARMA) combined predicttion fault prediction time series.
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Informatization Teaching Research Empowers Teachers toward Clustered Innovation and Practice of High-Quality Development
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作者 HU Xiaoyong ZENG Xiangyi +2 位作者 XU Huanyun CAO Yuxing SUN Shuo 《Frontiers of Education in China》 2023年第2期159-170,共12页
Teachers are the primary resource of education and an important guarantee for building a high-quality education system.Teaching research is an effective way for teacher professional development.This paper focuses on p... Teachers are the primary resource of education and an important guarantee for building a high-quality education system.Teaching research is an effective way for teacher professional development.This paper focuses on problems of the failure of traditional teaching research models,unbalanced supply,and inaccurate support,with the core goal of realizing the clustered,synergistic,and high-quality development of teachers,and builds a new form model of three integrations,one focus,and N innovations for regional informatization teaching research with innovative characteristics,a dual coordination mechanism for the clustered high-quality development of teachers,and an accurate support strategy for the comprehensive literacy of teacher informatization teaching research. 展开更多
关键词 information technology teaching research clustered high-quality developrnent synergistic mechanism accurate support
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