油膜轴承油液在线监测与其诊断系统的分析与开发

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1、ABSTRACTOilfilmbearingisakeypartofthemill，SOthemaintenanceoftheoilfilmbearingisveryimportant．Inthedailymaintenance，weusuallyuseoff-lineoilanalysistoperformmaintenanceanddiagnosis．Theoiltraditionalmonitoringtechnologycan’tberealtimeandcontinuesreflectiontheequipmentoperatingcondition，inordertosolve

2、theimitation，thispaperpresentsanon—lineoilmonitoringscheme．Forthecommonfailureoftheoilfilmbearing，thispaperchoosestomonitorviscosity,moisture，temperatureandwearoftheoilfilmbearinglubricationsystem．First，thesystemcollectstheinformationoftheoillubricatingsystembyvariousonlinesensorsandcorrespondinga

3、cquisitionsystem，thentransmitsthedatatothecomputerforanalysisandprocessing，therebyenablingrealtimemonitoring．Accordingtothemonitoringvalueandcorrelationanalysisoftheoilfilmbearing’Swear,ononehand，throughthetendencychartofwaterandviscosity,topredicttheoilqualityoftheoilfilmbearinglubricationsystem；

4、ontheotherhand，throughthetrendofwear,topredictchangeoftheoilfilmwear．Thecoreofthepaperiswearconditiondiagnosisoftheoilfilmbearing，whichincludingwearandweardebrisrecognitionisreflectedintheformsofon．1inespectralslices．Thevalueofwearisgottenbycalculatingtheabrasiveconcentrationoftheon—linespectralsl

5、ices，accordingtowearconcentrationtopredictthetrendwearofthebeating．Intherecognitionoftheweardebris，wedesignclassifierbythemethodofneuralnetworktorecognizetheweardebris．Theinputparametersoftheclassifierareenergy,entropy,varianceandrelevant，andtheoutputisthewearconditionofthebearing．Inordertoimprove

6、accuracyandreliabilityofthesystem，thepaperprocessestheimageofthedebriswhichisincludingenhancing，filteringandedgeextradition．Finally,wedevelopthesystembyVC++．SQLandMATLABmixedprogrammingmethod．Atthesametime，wetestthesystemandverificationthefeasibilityofthesystembyoff-lineanalysisinthelaboratory．Key

7、words：oilfilmbearing；oilon-linemonitoring；wear；recognitionoftheweardebris；neuralnetwork；imageprocessing目最l=1三王i=i冰摘要⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯一IABSTRACT⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯II目录⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯