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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

Satellite Mission Support Efficiency Evaluation Based on Cascade Decomposition and Bayesian Network

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  • @INPROCEEDINGS{10.1007/978-3-030-69072-4_5,
        author={Ruixing Wang and Yuqing Li and Hailong Zhang and Fan Liu and Mingjia Lei},
        title={Satellite Mission Support Efficiency Evaluation Based on Cascade Decomposition and Bayesian Network},
        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={Satellite Efficiency evaluation Cascade decomposition Bayesian network},
        doi={10.1007/978-3-030-69072-4_5}
    }
    
  • Ruixing Wang
    Yuqing Li
    Hailong Zhang
    Fan Liu
    Mingjia Lei
    Year: 2021
    Satellite Mission Support Efficiency Evaluation Based on Cascade Decomposition and Bayesian Network
    WISATS PART 2
    Springer
    DOI: 10.1007/978-3-030-69072-4_5
Ruixing Wang1, Yuqing Li1,*, Hailong Zhang2, Fan Liu2, Mingjia Lei1
  • 1: Deep Space Exploration Research Center, Harbin Institute of Technology
  • 2: China Xi’an Satellite Control Center
*Contact email: bradley@hit.edu.cn

Abstract

Aiming at the complexity of evaluation system construction is high due to the numerous and jumbled nodes of satellite mission support efficiency evaluation system and the difficulty in identifying the system hierarchy and the relationship between nodes, this paper proposes an evaluation method based on Cascade decomposition and Bayesian network. Firstly, establish a satellite mission support efficiency evaluation system based on Cascade decomposition. According to the basic information of satellite health status and environmental risk, the satellite mission is decomposed into multiple dimensions such as task level, attribute level, measure level and input level. Then, a method based on Bayesian network is designed to extract the experience knowledge, which can represent the complex expert experience mathematically. Finally, an example simulation analysis of earth observation mission is carried out, and the results show that this method can effectively and accurately complete the satellite mission support efficiency evaluation, and verify the validity and correctness of this method.

Keywords
Satellite Efficiency evaluation Cascade decomposition Bayesian network
Published
2021-02-28
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-69072-4_5
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