Новые алгоритмы бортовой диагностики авиационного газотурбинного двигателя на базе нейро-нечетких сетей

Sergey Vladimirovich Zhernakov; Artur Tagirovich Gilmanshin

New onboard gas turbine engine diagnostic algorithms based on neural?fuzzy networks

Authors

Sergey Vladimirovich Zhernakov
Artur Tagirovich Gilmanshin

Keywords:

neural network model; neuro?fuzzy algorithm; gas turbine engine.

Abstract

The application of neuro?fuzzy algorithms for solving problems of control and diagnostics of gas turbine engines are reviewed, the construction of a mathematical model of gas turbine engines and classifier bounce, reflections, are their advantages and disadvantages over classical diagnostic methods are described.