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SDG-based fault sample selection for telescope drive control system 会议论文
SPIE Modeling, Systems Engineering, and Project Management for Astronomy X, Montréal, Québec, Canada, 2022-8-25
作者:  Gu XJ(顾晓杰);  Yang SH(杨世海);  Li Y(李运);  Deng ZZ(邓壮壮)
浏览  |  Adobe PDF(6331Kb)  |  收藏  |  浏览/下载:141/45  |  提交时间:2023/03/22
telescope  control system  fault propagation  SDG  node importance  
大型射电望远镜主动反射面控制 期刊论文
中国科学技术大学学报, 2013, 卷号: 43, 期号: 1, 页码: 24-29
作者:  李同英;  张振超;  李爱华;  王佑
浏览  |  Adobe PDF(408Kb)  |  收藏  |  浏览/下载:584/167  |  提交时间:2014/02/10
13.7m毫米波射电望远镜  主动反射面  位移促动器  Can/ethernet协议转换器  闭环控制  
FIBER POSITIONING CONTROL FOR LAMOST BASED ON ZIGBEE PRO 会议论文
Proceedings of 2012 3rd IEEE International Conference on Network Infrastructure and Digital Content, Beijing, China, 2012-9-21
作者:  Tongying Li;  Zhenchao Zhang
浏览  |  Adobe PDF(871Kb)  |  收藏  |  浏览/下载:462/157  |  提交时间:2014/01/09
Lamost  Fiber Positioning  Zigbee Pro  Mesh Topology  Lm3s9b96  Cc2520  Cc2530  Stepper Motor  
Reflector adjustment for a large radio telescope based on active optics 会议论文
Software and Cyberinfrastructure for Astronomy II, Amsterdam, Netherlands, 2012-7-1
作者:  Li Tongying;  Zhang Zhenchao;  Li Aihua;  Wang You
浏览  |  Adobe PDF(223Kb)  |  收藏  |  浏览/下载:490/169  |  提交时间:2014/01/12
13.7 m Millimeter-wave Telescope  Active Surface  Displacement Actuator  Intelligent Controller  Controller Area Network /ethernet Protocol Converter  
Vibration Data Processing Based on Petri Network in Wireless Sensor Networks 期刊论文
JOURNAL OF NETWORKS, 2012, 卷号: 7, 期号: 2, 页码: 400-408
作者:  Tongying Li
浏览  |  Adobe PDF(766Kb)  |  收藏  |  浏览/下载:396/137  |  提交时间:2014/01/12
Wireless Sensor Networks  Vibration  Multisink Topological Structure  Data Fusion  Petri Network  Energy Management  
Modeling of control system for LAMOST Based on Petri net Workflow 会议论文
Modeling, Systems Engineering, and Project Management for Astronomy IV, San Diego, California, USA, 2010-6-27
作者:  Lingzhe Xu
浏览  |  Adobe PDF(296Kb)  |  收藏  |  浏览/下载:360/138  |  提交时间:2014/01/03
Lamost  Petri Net  Workflow  Tcs  Modeling