Research on Satellite Autonomous Fault Detection and Recovery Framework

Xunjia Li, Xin Ma, Tao Zhang, Xiaodong Han, Yajie Liu

2019

Abstract

During the operation of the satellite in orbit, the operating state may change due to the fault. The impact of satellite failures on satellites is enormous. In this paper, satellite fault detection and recovery is taken as the research object, and an automatic fault detection and recovery framework (AFRF) for fault recognition and recovery of satellite autonomous operation and task re-planning is proposed. Artificial intelligence methods are used in the framework to implement on-board rapid diagnosis faults, autonomous fault repair, and autonomic task re-planning. The experimental results show that the proposed framework can solve the satellite fault problem well and has a good engineering application prospect.

Paper Citation

in Harvard Style

Li X., Ma X., Zhang T., Han X. and Liu Y. (2019). Research on Satellite Autonomous Fault Detection and Recovery Framework.In Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: ICVMEE, ISBN 978-989-758-412-1, pages 293-298. DOI: 10.5220/0008385602930298

in Bibtex Style

@conference{icvmee19,
author={Xunjia Li and Xin Ma and Tao Zhang and Xiaodong Han and Yajie Liu},
title={Research on Satellite Autonomous Fault Detection and Recovery Framework},
booktitle={Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: ICVMEE,},
year={2019},
pages={293-298},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008385602930298},
isbn={978-989-758-412-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: ICVMEE,
TI - Research on Satellite Autonomous Fault Detection and Recovery Framework
SN - 978-989-758-412-1
AU - Li X.
AU - Ma X.
AU - Zhang T.
AU - Han X.
AU - Liu Y.
PY - 2019
SP - 293
EP - 298
DO - 10.5220/0008385602930298