摘要
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.
出处
《润滑与密封》
CAS
CSCD
北大核心
2005年第1期86-88,共3页
Lubrication Engineering
基金
国家自然科学基金资助项目(50105015
50375103)
北京市科技新星资助项目(2003B33)
