Volume 47 Issue 12
Dec.  2021
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Article Contents
CUI Lijie, CONG Jiping, DING Gang, et al. Supportability evaluation of aviation equipment system based on uncertainty[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(12): 2452-2461. doi: 10.13700/j.bh.1001-5965.2020.0490(in Chinese)
Citation: CUI Lijie, CONG Jiping, DING Gang, et al. Supportability evaluation of aviation equipment system based on uncertainty[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(12): 2452-2461. doi: 10.13700/j.bh.1001-5965.2020.0490(in Chinese)

Supportability evaluation of aviation equipment system based on uncertainty

doi: 10.13700/j.bh.1001-5965.2020.0490
Funds:

National Natural Science Foundation of China 72001213

The 13th Five Year Plan Equipment Pre-research Common Technical Topic 41402030401

More Information
  • Corresponding author: CUI Lijie. E-mail: lijie_cui@163.com
  • Received Date: 01 Sep 2020
  • Accepted Date: 17 Jan 2021
  • Publish Date: 20 Dec 2021
  • Aimed at the characteristics of complex structure, various elements, and strong coupling of aviation equipment system, based on the analysis of its support process, the multi-Agent modeling technology is used to carry out the supportability modeling of the aviation equipment system, and analysis and evaluation are performed. Taking into account the large amount of subjective and objective uncertainty factors in the support process, the uncertainty factors are described in the forms of random distribution and fuzzy variables. In order to conform to the characteristics of dynamic time-varying objective variables, the maximum likelihood estimation based on cross-entropy and the Hamilton Monte Carlo method are combined to realize simulation parameter description based on information update and optimize aviation equipment system support simulation model. Finally, a typical combat training task is taken as an example to verify the feasibility and accuracy of the proposed method.

     

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