On evolutionary optimisation of Markov models of aero engines

An application of genetic algorithms for aviation engine dynamic model structure optimisation is considered. A method for Markov models utilisation for gas turbine engine nonparametric nonlinear stochastic modelling is described. A technique of Markov model based engine condition monitoring is presented. The evolutionary computational techniques are implemented for optimal selection of gas turbine engine Markov model parameters. The real engine data was used for identification and optimisation of the engine Markov model. The results of genetic algorithm application for engine model optimisation are shown