摘要
神经网络故障诊断技术已成功的应用于航空航天领域,但在铁路系统应用极少。文中介绍了神经网络故障诊断理论方法,并以BP网络为基础,实现了机车车辆滚动轴承的多故障诊断。
Neural network is widely used in machine fault diagnosis in the field of mechanical engineering,but rarely used in the railway system.In this paper,BP neural network fault diagnosis technology for ball bearing of locomotive and cars is presented.Diagnosis results show that BP network diagnosis technology is very effective.
出处
《中国铁道科学》
EI
CAS
CSCD
北大核心
1998年第4期26-32,共7页
China Railway Science
基金
中国博士后科学基金
关键词
神经网络
故障诊断
机车
滚动轴承
BP网络
Neural network, Fault diagnosis, Locomotive and cars, Ball bearing