基于ADALINE神经网络的自适应滤波方法

自适应滤波器能够适应系统和环境的动态变化，具有较高的滤波精度。介绍了一种利用ADALINE神经网络进行自适应滤波的方法，根据自适应噪声抵消原理建立了ADALINE自适应神经滤波器模型，并使用该模型将发动机高压油管振动信号中的机体振动噪声滤除，提高了信噪比，为利用高压油管振动信号进行喷油器故障的精确诊断奠定了基础。

Method for self-adapting filtering based on ADALINE neural network

Adaptive filter can adapt the change of system and environment,so has higher filtering accuracy.This paper introduces a self-adapting filtering method based on ADALINE neural network to cancel noises,sets up an adaptive filter model according to the principle of adaptive noise cancellation,and uses this method to filter the noise which is excited by the body vibration from the vibration signal of high-pressure line of engine.By this method the signal-to-noise ratio is improved effectively.It contributes to the following signal analysis and fault diagnosis of fuel injector.