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Aiming at the evaluate problem of electromechanical actuating system health status, a method based on wavelet packet-gray neural network is proposed for the fault prediction of electromechanical actuating system. This method made a fault feature extraction in electromechanical actuating system applying wavelet packet decomposition, used the grey model of GM(1,1)to predict the twelve frequency band values under the different fault modes, then as the input of the neural network, adopted BP three layer structure, took hidden layer of 10 for training, relative error of predicted results is just -0.014 6, achieved good prediction effect. Finally, according to analysis of the fault of electromechanical actuating system, the correctness and effectiveness of this method are validated by the result of practical fault diagnosis examples.