小波分析在大轴承故障诊断中的应用  

Application of wavelet analysis in failure diagnosis of large bearing

作　　者：甘晓晔 

机构地区：[1]本溪冶专,高职专,本溪117022

出　　处：《机械设计与制造》2001年第5期58-60,共3页Machinery Design & Manufacture

摘　　要：从Fourier分析和卷积滤波入手,从工程角度来讨论小波分析的基本原理,并利用小波带通滤波方法对大轴承的振动信号进行时频分析,确定了大轴承故障的部位、类型和程度,经现场拆卸验证,结论是正确的。Begin with Fourier analysis and fisltration,the wavelet transform and p roperties are discussed from the angle of enginering in the pa per.Through vibration signal of lar ge bearing is Time -frequency analysed using wavelet band -psaain g methods,the type,the position adn degree of large bearing are con-firmed.The post -disassembled fits the diagnosis well.

关 键 词：FOURIER分析 卷积滤波 小波变换 轴承 故障诊断 

分 类 号：TH133.3[机械工程—机械制造及自动化] O174.22[理学—数学]