摘要
介绍了Elman神经网络的模型及原理,阐述了滚动轴承故障诊断的技术路线;通过轴承故障试验台采集滚动轴承振动信号并提取信号特征数据,利用构建的Elman神经网络,实现了轴承的智能诊断。与传统BP神经网络诊断相比,Elman神经网络综合诊断性能更优。
The model and principle of Elman neural network are introduced,and the technical route is described.The fault signal is acquisition by the test-bed of bearing fault and the characteristic data is extracted,realizing intelligent diagnosis of bearings by constructing Elman neural network.The results show that Elman network is better than BP network in diagnosis performance.
出处
《轴承》
北大核心
2010年第5期49-52,共4页
Bearing
基金
载运工具与装备省部共建教育部重点实验室开放基金资助项目
华东交通大学研究生创新专项资金资助项目(YC09C003)
