基于神经网络的滚动轴承故障监测

Fault Diagnosis of Rolling Bearing Based on Nerve Net Work

通过对滚动轴承振动信号的分析处理 ,提取反映轴承运行状态的特征参数组成特征向量 ,利用神经网络的函数逼近和记忆能力 。

By analyzing and processing of the vibration signals of the rolling bearing, the characteritic parameters which represent operating state of the rolling bearing are extracted to construct characteristic vector, the fault diagnosis of the rolling bearing in operating state is realized by using function approach and memory capacity of the neural network.