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APPlicationofWaveletAnalysisinFaultDiagnosisofRota

于 2009-09-05 发布 文件大小:2591KB
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  本文阐述了研究背景,故障诊断技术的发展及其国内外发展现状。对旋转机械的常见故障及其机理做了介绍,从而明确了旋转机械故障诊断所需要的依据及诊断方法。整个系统进行了总体的设计,并对各个模块做了简要的介绍,比较了传统的故障诊断方法和小波分析方法,分析了在旋转机械故障诊断中引入小波分析的必要性。最后两章分别详细地介绍了系统中的两个核心模块的设计与实现。实践表明,该方法提高了故障诊断的准确性,取得了良好效果。同时,小波分析的结果还可以为以后的专家系统,智能诊断提供数据。(There15agreatdealofnon一stationarysingalsinmachineryoPeration.Buttraditional timedomainanalysisandrfequeneydomainanalysishvaemnaylimitationswith non一stationarysignals.Wavelettransofmrbasesonbaseufnction,leanrsthecharaeteristiesof trianglebaseofFourierTransofmrandwindowufnetionofShort一TimeFourierTransofmr, andofmrsoscillatoryanddamPedbaseufnction.It15Praisedasa“mathematiealmieroseoPe,, beeauseofitsmulti一sealeandtime一rfequeneycharaeteristiesandbeeomesanimPortanttool ofrdealingwithnon一stationarysials. )

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小波分析在旋转机械故障诊断中的应用.nh

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