BP神经网络在基于铁谱技术的磨损状态评价体系中的应用

The Application of BP Neural Network in the Wear Condition Evaluating System Based on Ferrography

根据智能化铁谱状态监测的要求, 将对设备磨损状态反应比较敏感的三个定量铁谱参数作为输入参数, 应用BP神经网络对设备的磨损状态进行了自动识别。经过现场验证, 此方法结合定性铁谱分析可以较准确地评判设备的磨损状态级别。

In the light of the need of intellectualized ferrographic technology,three quantitative parameters which are sensitive to wear condition were chosen as input parameters,then BP neutral network was applied to auto-analyze wear condition of machine.On the basis of practice,this method combines with qualitative ferrographic analysis can evaluate the wear condition degree of machine accurately.