Improving the efficiency of gas-turbine engine neuro-fuzzy control and diagnostics algorithms using programmable logic chips

The paper considers the application of neural and neural-fuzzy algorithms in aviation gas-turbine engines diagnostic systems for engine failures detection and identification. This paper describes the construction of a mathematical model of gas-turbine engine and neuro - fuzzy failure classifier algorithm using Matlab and realization of this algorithms on modern microprocessors and FPGA.