文档介绍：小波包分析在滚动轴承故障诊断中应用摘要:根据小波包多分辨原理,对齿轮减速器JZQ250内的轴承振动信号进行处理,在分析滚动轴承振动机理的基础上,利用小波包进行多尺度分解,根据信号与噪声随尺度增加的不同传播特性,低频部分代表信号的发展趋势,正常状态信号趋势单调递增,故障状态信号趋势则单调递减,初步判定轴承的运行状态是否正常。当判定为故障时,选择小波包分解重构后特殊层的信息进行频谱分析,提取其故障特征频率。经对大量实测数据的处理和分析,能够比较准确地识别和诊断出减速器的正常运行状态,内圈、外圈和保持架故障运行状态,具有一定的工程实用价值。关键词:轴承;小波包分析;特征频率;故障诊断中图分类号:TP274文献标识码:A 文章编号:1004-373X(2010)09-0154-03 ApplicationofWaveletPacketAnalysisinFaultDiagnosisofRollerBearings CUIBao-zhen,WANGZe-bing,PANHong-xia (InstituteofMechanicalEngineeringandAutomatization,NorthUniversityofChina,Taiyuan030051,China) Abstract:Accordingtotheprincipleofwaveletpacket,,positionbywaveletpackets,ordingtodifferentpropagationcharacteristicsofthesignalandnoisewiththescale,thelowfrequencypartrepresentsdevelopmenttrendsofsignal,thenormalismonotonicallyincreasingandthefaultismonotonicallydescending,??analysisofmassivemeasureddata,uratelyidentifyanddiagnosedifferentrunningstatesofaJZQ250??reducerincludingthenormalstate,andinnerring,. Keywords:rollerbearing;waveletpacketanalysis