ABSTRACT摘要Ⅰ各专业完整优秀毕业论文设计图纸摘要滚动轴承是旋转机械中的重要零件，它在各个机械部门中的应用最为广泛，也是机器中最易损坏的零件之一。本文采用局部均值分解（localmeandecomposition，简称LMD）算法，编写一个信号分析系统，对滚动轴承的振动信号进行分析，提取故障特征，从而实现故障诊断。本文首先研究了LMD的原理，用MATLAB编写LMD的具体实现算法，并使用其他文献的模拟信号进行测试，验证了所编程序的正确性。其次利用MATLAB的GUI设计出基于LMD的信号分析软件，该软件界面友好，使用方便。最后，本文对实测的几组滚动轴承振动信号进行了分析，提取信号特征频率。结果表明，采用本文设计的分析软件，能够对滚动轴承的几种典型故障进行正确识别。关键词：滚动轴承；故障诊断；振动信号；局部均值分解ABSTRACTABSTRACTⅡⅡABSTRACTRollingbearingisanimportantpartofrotatingmachinery,whichisusedinvariousmachinerysectorswidely,alsoisoneofthemostvulnerablepartsofthemachine.Inthispaper,withthelocalmeandecomposition(localmeandecomposition,referredtoastheLMD)algorithm,writteninasignalanalysissystemforanalyzingrollingbearingvibrationsignalandextractingfaultcharacteristicsachievingfaultdiagnosis.Firstly,theprinciplesofLMDwasstudied,LMDconcretealgorithmwithMATLABwaswrote,andotherliteratureanalogsignaltestingtoverifythecorrectnessofcompiledprograms.Secondly,signalanalysissoftwarebasedonLMDwithMATLABGUIwasdesigned,thesoftwareinterfaceisfriendlyandeasytouse.Finally,severalgroupsofrollingbearingvibrationsignalmeasuredwasanalyzedtoextractthesignalcharacteristicfrequency.Theresultsshowthattheanalysissoftwaredesignedinthepapercanidentifyseveraltypicalfaultsofrollingbearingscorrectly.Keywords:rollingbearing;faultdiagnosis;vibrationsignal;localmeandecompositionⅣⅢ目录TOC\o"1-3"\h\z\uHYPERLINK\l"_Toc388950527"第1章引言PAGEREF_Toc388950527\h1HYPERLINK\l"_Toc388950528"1.1研究意义及目的PAGEREF_Toc388950528\h1HYPERLINK\l"_Toc388950529"1.2滚动轴承故障诊断的研究现状PAGEREF_Toc388950529\h2HYPERLINK\l"_Toc388950530"1.3滚动轴承故障诊断的发展趋势PAGEREF_Toc388950530\h4HYPERLINK\l"_Toc388950531"第2章滚动轴承故障诊断与LMD的相关理论分析PAGEREF_Toc388950531\h1HYPERLINK\l"_Toc388950532"2.1滚动轴承的故障机理及特征频率PAGEREF_Toc388950532\h1HYPERLINK\l"_Toc388950533"2.1.1滚动轴承产生振动的原因分析PAGEREF_Toc388950533\h1HYPERLINK\l"_Toc388950534"2.1.2滚动轴承故障特征频率的计算PAGEREF_Toc388950534\h4HYPERLINK\l"_Toc388950535"2.2滚动轴承的常用故障诊断方法PAGEREF_Toc3889