信息融合技术在托辊轴承故障诊断中的应用  

Application of Information Fusion Technology in Fault Diagnosis of Roller Bearings

作　　者：韩涛[1] 胡英贝[1] 张蕾[1] 张文涛[1] 徐振宇[1] 

机构地区：[1]洛阳轴研科技股份有限公司,河南洛阳471039

出　　处：《轴承》2012年第6期57-59,共3页Bearing

摘　　要：将信息融合技术引入矿用输送机托辊轴承故障诊断中,通过对托辊轴承故障特征信息的提取,利用神经网络技术和Dempster-Shafer证据理论对其进行数据融合,实现对托辊轴承故障的融合诊断,并结合示例进行了详细论述。The information fusion technology is introduced in fault diagnosis of roller beatings for mine conveyor. By extracting the fault characteristic information of roller beatings, the data fusion is carried out by using neural network technology and Dempster - Shafer evidence theory. The fault fusion diagnosis of roller beatings for conveyor is realized, and the detailed discussion is done by combining with examples.

关 键 词：托辊轴承 故障诊断 信息融合 

分 类 号：TH133.33[机械工程—机械制造及自动化]