CLASSIFICATION OF NEURAL NETWORK FOR TECHNICAL CONDITION OF TURBOFAN ENGINES BASED ON HYBRID ALGORITHM
Journal Title: Вісник Національного Авіаційного Університету - Year 2016, Vol 69, Issue 4
Abstract
Purpose: This work presents a method of diagnosing the technical condition of turbofan engines using hybrid neural network algorithm based on software developed for the analysis of data obtained in the aircraft life. Methods: allows the engine diagnostics with deep recognition to the structural assembly in the presence of single structural damage components of the engine running and the multifaceted damage. Results: of the optimization of neural network structure to solve the problems of evaluating technical state of the bypass turbofan engine, when used with genetic algorithms.
Authors and Affiliations
Valentin Potapov
Keywords
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- EP ID EP460960
- DOI 10.18372/2306-1472.69.11057
- Views 130
- Downloads 0
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