scholarly journals Development of a neural network model of a micro gas turbine engine

Author(s):  
A. V. Kuznetsov ◽  
G. M. Makaryants
Author(s):  
Marco Antnio Rosa do Nascimento ◽  
Lucilene de ◽  
Eraldo Cruz dos Santos ◽  
Eli Eber Batista Gomes ◽  
Fagner Luis Goulart ◽  
...  

Aviation ◽  
2013 ◽  
Vol 17 (2) ◽  
pp. 52-56 ◽  
Author(s):  
Mykola Kulyk ◽  
Sergiy Dmitriev ◽  
Oleksandr Yakushenko ◽  
Oleksandr Popov

A method of obtaining test and training data sets has been developed. These sets are intended for training a static neural network to recognise individual and double defects in the air-gas path units of a gas-turbine engine. These data are obtained by using operational process parameters of the air-gas path of a bypass turbofan engine. The method allows sets that can project some changes in the technical conditions of a gas-turbine engine to be received, taking into account errors that occur in the measurement of the gas-dynamic parameters of the air-gas path. The operation of the engine in a wide range of modes should also be taken into account.


2007 ◽  
Vol 2007.20 (0) ◽  
pp. 391-392
Author(s):  
Yuki YAMADA ◽  
Junnosuke YOKOO ◽  
Naoki TAKANO ◽  
Toshiyuki TORIYAMA ◽  
Akira FURUTANI ◽  
...  

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