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Wireless and Satellite Systems. 11th EAI International Conference, WiSATS 2020, Nanjing, China, September 17-18, 2020, Proceedings, Part II

Research Article

Research on Satellite Fault Detection Method Based on MSET and SRPRT

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  • @INPROCEEDINGS{10.1007/978-3-030-69072-4_4,
        author={Peng Sun and Guang Jin},
        title={Research on Satellite Fault Detection Method Based on MSET and SRPRT},
        proceedings={Wireless and Satellite Systems. 11th EAI International Conference, WiSATS 2020, Nanjing, China, September 17-18, 2020, Proceedings, Part II},
        proceedings_a={WISATS PART 2},
        year={2021},
        month={2},
        keywords={Fault detection MSET SRPRT},
        doi={10.1007/978-3-030-69072-4_4}
    }
    
  • Peng Sun
    Guang Jin
    Year: 2021
    Research on Satellite Fault Detection Method Based on MSET and SRPRT
    WISATS PART 2
    Springer
    DOI: 10.1007/978-3-030-69072-4_4
Peng Sun1,*, Guang Jin1
  • 1: National University of Defense Technology
*Contact email: 875638381@qq.com

Abstract

Since the beginning of the 21st century, the increasing requirements of mankind for spacecraft technology have forced spacecraft technology to become more and more complex and increase investment. Most current fault detection methods only use single features and features or single fault detection data, and do not involve satellite fault monitoring under multi-parameter conditions. This paper proposes a satellite fault detection method that can be used in a multi-parameter state. The multivariate state estimation algorithm (MSET) is used to obtain the residual between the multivariate state and historical health data, and then the actual residual of the data to be measured is input into the sequential rank sum probability ratio test method (SRPRT) to test. This paper verifies the effectiveness of the combination of MSET algorithm and SRPRT algorithm through experiments, and finds the optimal parameters and accuracy relative to SPRT method.

Keywords
Fault detection MSET SRPRT
Published
2021-02-28
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-69072-4_4
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