The problem of model-based condition monitoring of aero gas turbine engines is considered. Genetic algorithms are applied for the dynamic modelling of aero engines by estimating parameters of the linear reduced-order model. The use of genetic algorithms affords flexibility in the choice of performance metrics. Real engine data is used to investigate the performance genetic algorithms and this a...

The paper presents a type of observer based on reduced to minimum set of engine parameters measured directly: turbine-compressor rotational speed, engine inlet air pressure and temperature and atmospheric pressure. Results of application in analysis of data recorded during engine operation in non-stationary states of SO-3 engine (powering TS-11 Iskra aircraft) are presented. Possibilities of th...

In this paper the robustness of Kalman filtering against uncertainties in process and measurement noise covariances is discussed. It is shown that a standard Kalman filter may not be robust enough if the process and measurement noise covariances are changed. A new filter is proposed which addresses the uncertainties in process and measurement noise covariances and gives better results than the ...