基于改进粗糙集的滚动轴承故障诊断的计算机仿真研究  

Computer Simulation Study on Fault Diagnosis of Rolling Bearing Based on Improved Rough Sets

作　　者：崔永良[1] 李见伟[1] 

机构地区：[1]山东莱芜职业技术学院,山东莱芜271100

出　　处：《煤矿机械》2012年第11期281-283,共3页Coal Mine Machinery

摘　　要：研究滚动轴承故障诊断的有效方法,目前主要有神经网络、专家系统方法、模糊数学方法等,但是利用这些技术对滚动轴承进行故障诊断,由于获得的故障断数据存在不精确和不完备的缺陷,无法获得满意的诊断效果。为了能够弥补这一缺陷,将阶次小波包理论和变精度粗糙集理论结合起来对滚动轴承进行了故障诊断。仿真结果表明改进的方法故障诊断精度均达到了100%,从而表明了该方法具有较高的故障诊断精度,在滚动轴承的故障诊断中具有非常重要的应用价值。The effective method of fault diagnosis of rolling bearing is studied, and current main methods have neutral network, expert system method, fuzzy mathematics, and other methods, but when these methods are used to have fault diagnosis of rolling bearing, but fault diagnosis data obtained exist deficiency of non-precision and non-complete which will get mistake fault results. And simulation results show that fault diagnosis precision obtained by using this improved method achieve 100%, and these results show that this method had higher fault diagnosis precision, which have every important applicable value for having fault diagnosis for rolling bearing.

关 键 词：阶次小波包 变精度粗糙集 滚动轴承 故障诊断 计算机仿真 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TH133.33[自动化与计算机技术—计算机科学与技术]