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METHOD OF FORMULATING INPUT PARAMETERS OF NEURAL NETWORK FOR DIAGNOSING GAS-TURBINE ENGINES
Репозитарій Національного Авіаційного Університету
View Archive Info| Field | Value | |
| Title |
METHOD OF FORMULATING INPUT PARAMETERS OF NEURAL NETWORK FOR DIAGNOSING GAS-TURBINE ENGINES
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| Creator |
Kulyk, Mykola
Dmitriev, Sergiy Yakushenko, Oleksandr Popov, Oleksandr |
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| Subject |
gas-turbine engine
air-gas path mathematical model of operational process neural network |
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| Description |
A method of obtaining test and training data sets has been developed. 弻ese sets are intended for train- ing a static neural network to recognise individual and double defects in the air-gas path units of a gas-turbine engine. 弻ese data are obtained by using operational process parameters of the air-gas path of a bypass turbofan engine. 弻e 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. 弻e op- eration of the engine in a wide range of modes should also be taken into account |
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| Date |
2019-04-06T14:02:58Z
2019-04-06T14:02:58Z 2013-05 |
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| Type |
Article
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| Identifier |
1648-7788 print / ISSN 1822-4180
http://er.nau.edu.ua/handle/NAU/38320 |
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| Language |
en_US
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| Relation |
17(2) 2013;
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| Format |
application/pdf
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| Publisher |
AVIATION. Taylor&Francis
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