Multi-Extremum Adaptive Fuzzy Network Method for Dynamic Reliability Estimation Method of Vectoring Exhaust Nozzle

Multi-Extremum Adaptive Fuzzy Network Method for Dynamic Reliability Estimation Method of Vectoring Exhaust Nozzle

To enhance the accuracy and efficiency of reliability analysis for an aero-engine vectoring exhaust nozzle (VEN), a multi-extremum adaptive fuzzy network (MEAFN) method is developed by absorbing an adaptive neuro-fuzzy inference system (ANFIS) into the multi-extremum surrogate model (MESM) method. I...

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Bibliographic Details
Main Authors:	Chunyi Zhang, Zheshan Yuan, Huan Li, Jiongran Wen, Shengkai Zheng, Chengwei Fei
Format:	Article
Language:	English
Published:	MDPI AG 2023-07-01
Series:	Aerospace
Subjects:	vectoring exhaust nozzle multi-extremum adaptive fuzzy network reliability estimation extremum response surface method
Online Access:	https://www.mdpi.com/2226-4310/10/7/618

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