摘要
本文介绍了一种基于人工神经网络进行滚动轴承故障检测的新方法 ,文中利用加速度计获得滚动轴承的动态振动信息 ,为滚动轴承建立了动态非线性神经网络模型 ,并利用该模型进行在线故障检测。实际使用证明该模型具有良好的收敛性和稳定性 。
This paper describes a new method for fault detection on rolling bearing.The dynamic non linear mo del based neural networks is found by dynamic vibration information gained from acceleration meter.Furthermore,the on line fault diagnosis is implemented with the model.The model with good astringency and stabiity can meet needs for bearing on line detection completely.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2000年第1期73-74,82,共3页
Chinese Journal of Scientific Instrument
关键词
滚动轴承
神经网络
故障检测
非线性
Rolling bearing Neural networks Fault testing Non linear
