A method for gas path fault diagnosis of gas turbine engines based on Kalman filter and neural networks was proposed.For the fault diagnosis

the Kalman filter was used to estimate the variations of measurable parameters

while neural network was applied for mapping the variations of performance parameters of gas turbine engines.Digital simulations show that the proposed method is feasible and effective.