机车轴承故障诊断中的多智能传感器技术应用分析  

Application analyze of multi intelligent sensors technology in locomotive bearing fault diagnosis

作　　者：江伟[1] 

机构地区：[1]湖南交通工程职业技术学院铁道运输系,衡阳421000

出　　处：《铁路计算机应用》2008年第3期21-24,共4页Railway Computer Application

摘　　要：故障诊断技术是保证铁路设备安全运行的一项重要技术。分析传统机车轴承故障诊断方法中存在的不确定性,利用多智能传感器技术进行机车轴承故障诊断,建立融合诊断系统。该系统采用决策级融合方法来处理由于单个参数带来的诊断的不确定性。实验表明,这种方法能够有效解决基于单个参数诊断系统中带来的不确定性问题。因而它具有很强的理论意义和应用价值。Fault diagnosis technology was an important technology to guarantee the safe operation of railway equipment. It was analyzed the uncertainties traditional locomotive bearing fault diagnosis method, the multisensor information fusion method was applied to make a fault diagnosis, and built the Fusion Fault Diagnosis System. The System used the idea of decision grade fusion to handle these uncertainties, Experimental results showed that this method could.effectively solve the Diagnostic System based on a single parameter of the uncertainty, Thus it had great theoretical significance and application value.

关 键 词：故障诊断 智能传感器 多传感器 信息融合 

分 类 号：U260.331[机械工程—车辆工程]