Amodel for aeroengine performance monitoring and fault detection was proposed based on immune-neural networks.With immune recognition mechanism of the artificial immune system

this model was combined with artificial neural networks to attain the degrees of engine performance's abnormal state for monitoring engine performance.The approach can sensitively and accurately reflect the whole performance of the engine.Meanwhile

this method improves the rate of identifying whether the performance of the engine is normal or not

finds out the potential forepart fault of engine and prevents the spread of the fault.The validity of this method is testified by monitoring certain type of turbo-fan engine.