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Unanticipated Fault Detection Technology for Tip/Tilt Mirror Control System of Large Aperture Telescope
Wu JJ(吴佳佳); Yang SH(杨世海); Li Y(李运)
2020-06
Conference Name2020 International Conference on Environment Science and Advanced Energy Technologies (ESAET 2020)
Source PublicationJournal of Physics: Conference Series 1549 042007
Conference Date2020-1-18
Conference PlaceChongqing, China
Abstract
Large Aperture telescopes are usually placed in some special environment. Once a malfunction occurs, it’s inconvenient for maintenance. This paper presents those unanticipated failures in tip/tilt mirror control system of large aperture telescopes, and tries to propose a detection strategy based on BP neural network. Firstly, the paper analyses the failure mechanism of the software and the hardware of the tip/tilt mirror control system. Then the known fault data are used to train the BP neural network in order to obtain an accurate detection model. Finally, the unanticipated data are mixed into the known fault data, and the model is used to detect unanticipated faults. The simulation results show that the model can be used to detect the unanticipated fault in tip/tilt mirror control system effectively.
Subject Area天文技术与方法
Language英语
Document Type会议论文
Identifierhttp://ir.niaot.ac.cn/handle/114a32/1770
Collection会议论文
Affiliation南京天文光学技术研究所
Recommended Citation
GB/T 7714
Wu JJ,Yang SH,Li Y. Unanticipated Fault Detection Technology for Tip/Tilt Mirror Control System of Large Aperture Telescope[C],2020.
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