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 Name | 2020 International Conference on Environment Science and Advanced Energy Technologies (ESAET 2020) |
Source Publication | Journal of Physics: Conference Series 1549 042007 |
Conference Date | 2020-1-18 |
Conference Place | Chongqing, 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 |
Identifier | http://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. |
Files in This Item: | Download All | |||||
File Name/Size | DocType | Version | Access | License | ||
Unanticipated Fault (700KB) | 会议论文 | 开放获取 | CC BY-NC-SA | View Download |
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