Research on the fault diagnosis and self-healing technology of unattended Antarctic telescope | |
Yun Li1,2,3; Shihai Yang1,2 | |
2018-07-06 | |
会议名称 | SPIE Ground-based and Airborne Telescopes VII(Vol.10700) |
会议日期 | 2018-6-10 |
会议地点 | Austin, Texas, United States |
关键词 | Astronomical telescope Fault diagnosis Self-healing Intelligent Expert system |
英文摘要 |
This paper presents an expert system fault diagnosis and seamless self-healing scheme based on artificial intelligence,which is used for the astronomical telescope drive system. For the faults that have already occurred, the expert system inference mechanism can be used to realize quick localization of failure, and we can use the expert solution in the knowledge base to run the self-healing decision until the failure is resolved. For the failure the knowledge base doesn’t have, we can use human-machine interface to achieve real-time update of the knowledge base. For the faults that didn’t occurred, the trained adaptive BP neural network is used to fit the parameters of the telescope running status, to monitor the running status of the telescope in real time and to realize the fault warning of the telescope operation. Fault diagnosis and seamless self-healing technology is one of the key technologies to realize intelligent, its research is of great significance. |
会议录 | Ground-based and Airborne Telescopes VII
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学科主题 | 天文技术与方法 |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.niaot.ac.cn/handle/114a32/1557] ![]() |
专题 | 南京天文光学技术研究所_中科院南京天光所知识成果_会议论文 南京天文光学技术研究所_望远镜工程中心_会议论文 |
作者单位 | 1.南京天文光学技术研究所 2.天文光学技术重点实验室 3.中国科学院大学 |
推荐引用方式 GB/T 7714 | Yun Li,Shihai Yang. Research on the fault diagnosis and self-healing technology of unattended Antarctic telescope[C]. 见:SPIE Ground-based and Airborne Telescopes VII(Vol.10700). Austin, Texas, United States. 2018-6-10. |
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