Approximation function identification and optimization in the tests data analysis of GTE components
Автор: Danilenko Aleksandra, Popova-Kovartseva Darya
Журнал: Известия Самарского научного центра Российской академии наук @izvestiya-ssc
Рубрика: Информатика, вычислительная техника и управление
Статья в выпуске: 1 т.21, 2019 года.
Бесплатный доступ
In the paper we model the behavior of the loss coefficient in the turbine grids of a gas turbine engine (GTE), depending on its parameters. Factors affecting the operation of gas turbine engines and methods for processing test data of gas turbine engine components are considered. An algorithm was developed and the corresponding software for analyzing the bench test data of a gas turbine engine was implemented. The program allows us to get a mathematical model that describes the behavior of the loss rate of the turbine stage, depending on its parameters. The program provides the ability to customize the process of finding the coefficients of the regression model and the process of optimizing the resulting model. It is possible to save the processing results to a text file.
Regression analysis, gas turbine engine, deformable nelder - mead polyhedron, loss coefficient, function optimization
Короткий адрес: https://sciup.org/148312568
IDR: 148312568