北京航空航天大学学报 ›› 2021, Vol. 47 ›› Issue (2): 240-246.doi: 10.13700/j.bh.1001-5965.2020.0276

• 论文 • 上一篇    下一篇

基于T-S模糊故障树的多态导航系统性能可靠性

刘勇1, 罗德林2, 石翠1, 吴华新3   

  1. 1. 工业和信息化部电子第五研究所, 广州 510610;
    2. 厦门大学 航空航天学院, 厦门 361102;
    3. 空军预警学院, 武汉 430019
  • 收稿日期:2020-06-17 发布日期:2021-03-08
  • 通讯作者: 刘勇 E-mail:117903739@qq.com
  • 作者简介:刘勇,男,博士,高级工程师。主要研究方向:系统可靠性、安全性;罗德林,男,博士,教授,硕士生导师。主要研究方向:飞行器制导与控制、无人机协同控制决策、计算智能;石翠,女,硕士研究生。主要研究方向:系统可靠性、安全性;吴华新,男,博士,讲师。主要研究方向:组网系统技术。
  • 基金资助:
    国家自然科学基金(51605095)

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

LIU Yong1, LUO Delin2, SHI Cui1, WU Huaxin3   

  1. 1. The Fifth Electronics Research Institute of the Ministry of Industry and Information Technology, Guangzhou 510610, China;
    2. School of Aerospace Engineering, Xiamen University, Xiamen 361102, China;
    3. Air Force Early Warning Academy, Wuhan 430019, China
  • Received:2020-06-17 Published:2021-03-08

摘要: 考虑复杂多态导航系统在不同故障状态具有不同的性能可靠性,将T-S模糊故障树模型应用到多态导航系统性能分析中,以T-S模糊故障树表示系统的性能变量,映射为系统性能指标值,结合统计学中的期望思想,计算不同层次事件发生故障时系统的性能可靠性,并以典型的全球定位系统(GPS)和惯性定向定位导航系统(INS)相组合的导航系统进行分析建树,求解系统在多故障状态下的性能可靠性指标,并进行了实例分析。结果表明:无论底事件处于轻微还是严重故障状态,对系统性能都会产生影响,中间事件是导航系统的薄弱环节,即便是中间层轻微故障,也会引起系统性能可靠性较大的下降。

关键词: T-S模型, 模糊故障树, 多态导航系统, 性能可靠性, 贝叶斯网络

Abstract: 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.

Key words: T-S model, fuzzy fault tree, multi-state navigation system, performance reliability, Bayesian network

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