摘要
利用人工神经网络,对ZL-50A型装载机工作时的振动信号进行采集、处理并提取特征参数,以实现对装载机系统工作状态故障的监测和诊断。
Based on the artificial neural networks, it makes an experiment for collecting a nd analyzing ZL-50A style loader vibration signal and picking up its characteris tic parameters, realizes the fault monitors of the loader mechanical system.
