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Airworthiness Evaluation Model Based on Fuzzy Neural Network

  • Jie-Ru Jin
  • Peng Wang
  • Yang ShenEmail author
  • Kai-Xi Zhang
Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)

Abstract

Based on fuzzy neural network, this study explores the quantifying calculation problem of airworthiness of specific rescue operations. Aiming at the problem of quantification assessment of flightworthiness for rescue flight operation, this study starts from the perspective of the mechanical properties of the aircraft itself, and use a fuzzy neural network model for rescue operations of airworthiness evaluation modeling. The rescue historical data of the EC-135 helicopter model is used for model training, in order to form a quantitative model of airworthiness assessment for flight operation. On the one hand, the quantitative output results provide qualitative guidance for aircraft’s competency, and on the other hand, it provides a basis for comparing the advantages and disadvantages of multitask allocation schemes. Optimization of the whole system task allocation effect is formed through the best way of individual utility. Aiming at the heterogeneous problem for rescue system, this paper introduces the concept of “task ability vector”, quantitative representing the ability of heterogeneous aircrafts and requirements of mission. The comprehensive ability of quantitative calculation of multi-aircrafts alliance is discussed, as well as the single and multi-aircrafts cooperative task ability.

Keywords

Rescue task allocation Fuzzy neural network Aviation emergency rescue 

Notes

Acknowledgements

Supported by the National Key Research and Development Program of China(Grant No.2016YFC08022603).

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Jie-Ru Jin
    • 1
  • Peng Wang
    • 2
  • Yang Shen
    • 1
    Email author
  • Kai-Xi Zhang
    • 1
  1. 1.College of Economics and ManagementNanjing University of Aeronautics and AstronauticsNanjingChina
  2. 2.Haifeng General Aviation Technology Co., LtdBeijingChina

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