基于熵带法的旋转机械故障诊断与故障分类  

Fault Diagnosis and Fault Classification of Rotating Machinery Based on Entropy Strip Method

作　　者：唐贵基[1] 王誉蓉[1] 郭新富 胡爱军[1] 范德功[1] 

机构地区：[1]华北电力大学机械工程学院,河北保定071003 [2]中石油宁夏销售分公司,银川750001

出　　处：《煤矿机械》2006年第9期189-191,共3页Coal Mine Machinery

基　　金：华北电力大学博士学位教师基金项目(92104392)

摘　　要：转子系统故障诊断方法大多数是一些定性的方法,缺少有效的定量诊断方法。针对这一问题将信息熵运用于故障诊断领域,提出熵带判断法,并在转子试验台上进行了典型故障的模拟试验,结果表明熵带法对于大部分转子信号能够很好地区分故障类别。Methods which were used in the fault diagnosis of rotor system often is qualitative. And the effectively quantitative method of fault diagnosis for rotor system is less. In order to solve the mentioned problem, information entropy is introduced into fault diagnosis domain. Entropy strip method is brought forward and the representative fault of rotor system is simulated for trying it out on the rotor test - bed. The results show that entropy strip method can distinguish mostly different fault of rotor system based on the signal of rotor system.

关 键 词：故障诊断 转子系统 信息熵 

分 类 号：TP306.3[自动化与计算机技术—计算机系统结构]