根据柴油机振动信号非平稳性的特性 ,应用非线性自适应神经网络的方法对柴油机振动信号进行信噪分离 .应用结果表明 :该方法的效果好于用神经网络方法进行信噪分离的效果 According to the non-stationary characteristics of diesel engine vibration signals, the nonlinear adaptive neural network method is used to separate the signal from the diesel engine vibration signals. The application results show that this method is better than the neural network method to separate the signal and noise