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2020 | OriginalPaper | Buchkapitel

Airworthiness Evaluation Model Based on Fuzzy Neural Network

verfasst von : Jie-Ru Jin, Peng Wang, Yang Shen, Kai-Xi Zhang

Erschienen in: Smart Service Systems, Operations Management, and Analytics

Verlag: Springer International Publishing

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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.

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Literatur
1.
Zurück zum Zitat X. Deng, X. Wang, Incremental learning of dynamic fuzzy neural networks for accurate system modeling. Fuzzy Sets Syst. 160(7), 972–987 (2009)CrossRef X. Deng, X. Wang, Incremental learning of dynamic fuzzy neural networks for accurate system modeling. Fuzzy Sets Syst. 160(7), 972–987 (2009)CrossRef
2.
Zurück zum Zitat A.F. Gobi, W. Pedrycz, The potential of fuzzy neural networks in the realization of approximate reasoning engines. Fuzzy Sets Syst. 8(22), 2954–2973 (2006)CrossRef A.F. Gobi, W. Pedrycz, The potential of fuzzy neural networks in the realization of approximate reasoning engines. Fuzzy Sets Syst. 8(22), 2954–2973 (2006)CrossRef
3.
Zurück zum Zitat C.F. Juang, T.M. Chen, Birdsong recognition using prediction-based recurrent neural fuzzy networks. Neurocomputing 71(1–3), 121–130 (2007). C.F. Juang, L.T. Chen, Moving object recognition by a shape-based neural fuzzy network. Neurocomputing 71(13), 2937–2949 (2008) C.F. Juang, T.M. Chen, Birdsong recognition using prediction-based recurrent neural fuzzy networks. Neurocomputing 71(1–3), 121–130 (2007). C.F. Juang, L.T. Chen, Moving object recognition by a shape-based neural fuzzy network. Neurocomputing 71(13), 2937–2949 (2008)
4.
Zurück zum Zitat M. Singh, S. Srivastava, M. Hanmandlu et al., Type-2 fuzzy wavelet networks (T2FWN) for system identification using fuzzy differential and Lyapunov stability algorithm. Appl. Soft Comput. 9(3), 977–989 (2009)CrossRef M. Singh, S. Srivastava, M. Hanmandlu et al., Type-2 fuzzy wavelet networks (T2FWN) for system identification using fuzzy differential and Lyapunov stability algorithm. Appl. Soft Comput. 9(3), 977–989 (2009)CrossRef
Metadaten
Titel
Airworthiness Evaluation Model Based on Fuzzy Neural Network
verfasst von
Jie-Ru Jin
Peng Wang
Yang Shen
Kai-Xi Zhang
Copyright-Jahr
2020
DOI
https://doi.org/10.1007/978-3-030-30967-1_17