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Authors: Hongjian Guo 1 ; Chun Qi 2 ; Yanguo Chen 3 ; Jun Wei 4 and Haipeng Liu 4

Affiliations: 1 Xi'an Jiaotong University, Xi'an, China, Xi’an Satellite Control Center, Xi'an and China, China ; 2 Xi'an Jiaotong University, Xi'an and China, China ; 3 Troops 94587, Lianyungang and China, China ; 4 Xi’an Satellite Control Center, Xi'an and China, China

Keyword(s): Artificial intelligence; Aerospace monitoring; Fault diagnosis.

Abstract: To solve the problems of fault diagnosis methods such as low versatility, difficulty in selecting feature parameters, and low efficiency of reasoning in spacecraft equipment, a fault diagnosis method for space equipment based on artificial intelligence is proposed. Feature selection and extraction, and then use the support vector machine to optimize the selected parameters, and finally through the application of simulation in the fault diagnosis of multiple types of space measurement and control equipment to verify the effectiveness of the system.

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Paper citation in several formats:
Guo, H.; Qi, C.; Chen, Y.; Wei, J. and Liu, H. (2019). Fault Diagnosis Method of Spacecraft Measurement and Control Equipment Based on Artificial Intelligence Technology. In Proceedings of the 2nd International Conference on Intelligent Manufacturing and Materials - ICIMM; ISBN 978-989-758-345-2, SciTePress, pages 505-509. DOI: 10.5220/0007534605050509

@conference{icimm19,
author={Hongjian Guo. and Chun Qi. and Yanguo Chen. and Jun Wei. and Haipeng Liu.},
title={Fault Diagnosis Method of Spacecraft Measurement and Control Equipment Based on Artificial Intelligence Technology},
booktitle={Proceedings of the 2nd International Conference on Intelligent Manufacturing and Materials - ICIMM},
year={2019},
pages={505-509},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007534605050509},
isbn={978-989-758-345-2},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Intelligent Manufacturing and Materials - ICIMM
TI - Fault Diagnosis Method of Spacecraft Measurement and Control Equipment Based on Artificial Intelligence Technology
SN - 978-989-758-345-2
AU - Guo, H.
AU - Qi, C.
AU - Chen, Y.
AU - Wei, J.
AU - Liu, H.
PY - 2019
SP - 505
EP - 509
DO - 10.5220/0007534605050509
PB - SciTePress

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