航空学报 > 2023, Vol. 44 Issue (4): 226853-226853   doi: 10.7527IS1000-6893.2022.26853

基于直觉模糊贝叶斯网络的HUD系统多阶段任务可靠性分析

张帆1,2, 孙紫荆2, 肖国松1,2, 刘嘉琛2, 王鹏1,2()   

  1. 1.民航航空器适航审定技术重点实验室,天津 300300
    2.中国民航大学 安全科学与工程学院,天津 300300
  • 收稿日期:2021-12-23 修回日期:2022-02-11 接受日期:2022-02-21 出版日期:2023-02-25 发布日期:2023-01-06
  • 通讯作者: 王鹏 E-mail:pwang@cauc.edu.cn
  • 基金资助:
    国家重点研发计划(2021YFB1600601);中央高校基本科研业务费中国民航大学资助专项(3122022094)

Reliability analysis for multi-phased mission of HUD system based on intuitionistic fuzzy Bayesian network

Fan ZHANG1,2, Zijing SUN2, Guosong XIAO1,2, Jiachen LIU2, Peng WANG1,2()   

  1. 1.Key Laboratory of Civil Aircraft Airworthiness Technology,CAAC,Tianjin 300300,China
    2.College of Safety Science and Engineering,Civil Aviation University of China,Tianjin 300300,China
  • Received:2021-12-23 Revised:2022-02-11 Accepted:2022-02-21 Online:2023-02-25 Published:2023-01-06
  • Contact: Peng WANG E-mail:pwang@cauc.edu.cn
  • Supported by:
    National Key Research and Development Program of China(2021YFB1600601);Fundamental Research Funds for the Central Universities supported by Civil Aviation University of China(3122022094)

摘要:

针对国产平视显示系统(HUD)部分功能模块底层可靠性数据积累不足、难以支撑可靠性分析的问题,提出基于直觉模糊贝叶斯网络(IFBN)的平视显示系统多阶段任务可靠性分析方法。首先,研究基于贝叶斯网络的多阶段任务系统(PMS)模型构建方法,并综合考虑可能的共因失效(CCF)影响;其次,研究基于直觉模糊理论的模糊事件失效数据评估方法,提出适用于航电设备的模糊区间划分方法及直觉模糊数与失效数据的转换算法,并采用基于Tω算子的直觉模糊数聚合算法,降低模糊累计;最后,以某型平视显示系统为例进行多阶段任务可靠性计算。所提方法为系统底层失效数据模糊情况下的可靠性分析问题提供支持。

关键词: 直觉模糊数, 贝叶斯网络, 平视显示系统, 多阶段任务, 可靠性分析

Abstract:

Insufficient bottom reliability data accumulation of some functional modules of the domestic Head Up Display (HUD) system poses difficulty in reliability analysis support. To solve this problem, a reliability analysis method for multi-phased mission of the HUD system based on the Intuitionistic Fuzzy Bayesian Network (IFBN) is proposed. The modeling method for multi-Phased Mission System (PMS) based on the Bayesian network is first studied, and meanwhile the possible Commom Cause Failure (CCF) effects are comprehensively considered. The fuzzy event failure data evaluation method based on the intuitionistic fuzzy theory is then explored, the fuzzy interval division method suitable for avionics equipment and the conversion algorithm between the intuitionistic fuzzy number and failure data proposed, and the intuitionistic fuzzy number aggregation algorithm based on the Tω operator adopted to reduce fuzzy accumulation. Finally, the multi-phased mission reliability is calculated with a HUD system as an example. The proposed method provides support for reliability analysis under the condition of fuzzy bottom failure data.

Key words: intuitionistic fuzzy number, Bayesian network, head up display system, multi-phased mission, reliability analysis

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