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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2023, Vol. 44 ›› Issue (4): 226853-226853.doi: 10.7527IS1000-6893.2022.26853

• Solid Mechanics and Vehicle Conceptual Design • Previous Articles     Next Articles

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)

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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