Comparative analysis of a mathematical model of the turbine gas temperature sensor of the turbocharger of a helicopter gas-turbine engine based on regres-sion analysis and neural networks
UDK 629.7:681.324 BBK 39.551-01-07 S21
The article presents the results of a comparative analysis of mathematical models of the turbine gas temperature sensor of the turbocharger of a helicopter gas turbine engine based on regression analysis and on a multilayer neural network. The inexpediency of using a multilayer neural network as a mathematical model of a gas temperature sensor is proved. The optimal type of the mathematical model of the gas temperature sensor is selected by the criterion of the minimum error of the output parameter calculation.
Keywords: gas turbine engine, rotor, mathematical model of gas temperature sensor, helicopter, neural network.
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