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Research on the fault diagnosis and self-healing technology of unattended Antarctic telescope
Yun Li1,2,3; Shihai Yang1,2
2018-07-06
Conference NameSPIE Ground-based and Airborne Telescopes VII(Vol.10700)
Source PublicationGround-based and Airborne Telescopes VII
Conference Date2018-6-10
Conference PlaceAustin, Texas, United States
Abstract
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.
KeywordAstronomical Telescope Fault Diagnosis Self-healing Intelligent Expert System
Subject Area天文技术与方法
Language英语
Document Type会议论文
Identifierhttp://ir.niaot.ac.cn/handle/114a32/1557
Collection中国科学院南京天文光学技术研究所_会议论文
望远镜工程中心_会议论文
Affiliation1.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
Recommended Citation
GB/T 7714
Yun Li,Shihai Yang. Research on the fault diagnosis and self-healing technology of unattended Antarctic telescope[C],2018.
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