Research Article
Satellite Mission Support Efficiency Evaluation Based on Cascade Decomposition and Bayesian Network
@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
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.
