Method of formulating input parameters of neural network for diagnosing gas-turbine engines
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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Vilnius Gediminas Technical University
2013-07-01
|
| Series: | Aviation |
| Subjects: | |
| Online Access: | http://journals.vgtu.lt/index.php/Aviation/article/view/3580 |