
基于拉普拉斯权重的低速重载设备声发射信号趋势分析
TrendanalysismethodforacousticemissionsignalsofalowspeedandheavydutyequipmentbasedonLaplacianscore
Acousticemissiontechnologyisoneofcommonlyusedmethodsforconditionmonitoringofalowspeedandheavydutyequipment.Butthekeypointisthattherearemanyfeatureparametersinacousticemissionanalysisandeachsingleparameterhasasensitivityleveltoafault.Hence,itisextremelyimportanttochooseappropriateparameterstoreflectthedegradationtrendindevicestatustrendanalysis.Here,atrendanalysismethodforacousticemissionsignalsofalowspeedandheavydutyequipmentbasedonLaplacianscorewasproposed.Firstly,theimportanceofeachparameterwassortedbytakingtheadvantageoftheclusterinfeaturebetwensamplesbasedonLaplacianmappingprincipleandtheweightedcoefficientofeachparameterwasbtained.AcomprehensiveparameterLAwasobtainedbyfusingseveralparameterswiththeirweightedcoefficients.Thisparametercouldnotonlyreflectthephysicalprocessofacousticemission,butalsohighlighttheactionsofthekeyparameters.Theeffectivenessoftheproposedmethodwasverifiedwiththeactualsignalsofbeltcylinderbearingsinablastfurnace.ThetestresultsshowedthatthenewmethodcanreflectthedegradationtrendofthelowspeedandheavydutybearingseffectivelyandcomprehensiveparameterLAissensitivetofaultseverityofthebearings.
拉普拉斯权重 / 特征选择 / 声发射 / 低速重载设备 / 趋势分析 {{custom_keyword}} /
Laplacianscore / featureselection / acousticemission / lowspeedandheavydutyequipment / trendanalysis {{custom_keyword}} /
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