Airworthiness Evaluation Model Based on Fuzzy Neural Network

Jie-Ru Jin, Peng Wang, Yang Shen () and Kai-Xi Zhang
Additional contact information
Jie-Ru Jin: Nanjing University of Aeronautics and Astronautics
Peng Wang: Haifeng General Aviation Technology Co., Ltd
Yang Shen: Nanjing University of Aeronautics and Astronautics
Kai-Xi Zhang: Nanjing University of Aeronautics and Astronautics

A chapter in Smart Service Systems, Operations Management, and Analytics, 2020, pp 183-194 from Springer

Abstract: 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 networkFuzzy 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 (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-030-30967-1_17

Ordering information: This item can be ordered from
http://www.springer.com/9783030309671

DOI: 10.1007/978-3-030-30967-1_17

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().