Fault Diagnosis Method of Spacecraft Measurement and Control Equipment Based on Artificial Intelligence Technology

Hongjian Guo, Chun Qi, Yanguo Chen, Jun Wei, Haipeng Liu

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.

Download


Paper Citation


in Harvard Style

Guo H., Qi C., Chen Y., Wei J. and Liu H. (2018). 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 - Volume 1: ICIMM, ISBN 978-989-758-345-2, pages 505-509. DOI: 10.5220/0007534605050509


in Bibtex Style

@conference{icimm18,
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 - Volume 1: ICIMM,},
year={2018},
pages={505-509},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007534605050509},
isbn={978-989-758-345-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Intelligent Manufacturing and Materials - Volume 1: 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 - 2018
SP - 505
EP - 509
DO - 10.5220/0007534605050509