Volume 47 Issue 2
Feb.  2021
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LIU Yong, LUO Delin, SHI Cui, et al. Performance reliability of multi-state navigation system based on T-S fuzzy fault tree[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(2): 240-246. doi: 10.13700/j.bh.1001-5965.2020.0276(in Chinese)
Citation: LIU Yong, LUO Delin, SHI Cui, et al. Performance reliability of multi-state navigation system based on T-S fuzzy fault tree[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(2): 240-246. doi: 10.13700/j.bh.1001-5965.2020.0276(in Chinese)

Performance reliability of multi-state navigation system based on T-S fuzzy fault tree

doi: 10.13700/j.bh.1001-5965.2020.0276
Funds:

National Natural Science Foundation of China 51605095

More Information
  • Corresponding author: LIU Yong. E-mail: 117903739@qq.com
  • Received Date: 17 Jun 2020
  • Accepted Date: 17 Jul 2020
  • Publish Date: 20 Feb 2021
  • The T-S fuzzy fault tree model is applied to the performance analysis of the multi-state navigation system, considering that complex multi-state system has different performance reliability in different fault states. The T-S fuzzy fault tree is used to represent the performance variables of the system and mapped to the performance index of the multi-state system. Combined with the expectation idea of statistics, the performance reliability of the system is calculated when the system is at different levels of failure event. The navigation system, combined with the typical Global Positioning System (GPS) and the Inertial Navigation System(INS), is used to analyze and build the tree to solve the problem of the system in the multi-fault state. The performance reliability index of the system is analyzed by making an example analysis. The results show that no matter whether the bottom event is in a minor or severe failure state, it will affect the system performance. The intermediate event is a weak link in the navigation system. Even a slight failure in the middle layer will cause a significant decrease in system performance reliability.

     

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