Realization of hybrid gas turbine engine control and diagnostics algorithms using modern on-board computing devices

The implementation of the neuro-fuzzy algorithms for solving problems of control and diagnostics of gas turbine engines on modern onboard computing devices is considered. The construction of a mathematical model of gas turbine engines and failures classifier is described and their advantages and disadvantages compared with the use of traditional methods are reflected.