基于非線性動(dòng)力學(xué)的滾動(dòng)軸承故障趨勢(shì)分析.pdf

1、江蘇大學(xué)碩士學(xué)位論文基于非線性動(dòng)力學(xué)的滾動(dòng)軸承故障趨勢(shì)分析姓名：馬東玲申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：檢測(cè)技術(shù)與自動(dòng)化裝置指導(dǎo)教師：陳曉平20080601江蘇大學(xué)碩士畢業(yè)論文ABSTRACTTheoilweUdrillingisakindofcontinuousprocessOncetherehappensanyaCcident，theeconomiclosswillbeve叫seriousThedrillingisalarge—Scaleeq

2、uipmemwithmanytransmissionmechanisms，anditsrollingbe2uringseasilybreakdo、VnThus，deVelopingtheearlyfaultdiagnosisofdrillingrollingbearingshasgreatpraCticalsignificanceAccordingt0mecharacteristicsofbe州ngs向ult，thisdissertat

3、ionist0researchmeearlyfaultdiagnosismethodofrollingbearings，andgiVeapredictiontoit’sdeVelopmenttIendInmisdissercation，tllefaultmechanismandthevibrationcharacteristicsofrollerbearingsaresummarized，thenonlineardyn鋤icsanaly

4、sismethodsofmeVibrationsignalareintroducedBecauseofthenonstationaD，andnonlinearVibrationsignalwhentherollingbe撕ngshave蠡mlts，ab叭erdia印osise髓Ctisexpectdtogetbythenonlinearanalysismethodwhichare納ctalanalysisaIldsymbolicdyn鋤

5、icsanalysisTheaboVetwometllodsaureusedtoextractthefaultfeaturesofthebearingsVibrationsignalinthisp印erOnthatbasis，thesupportVectormachine(SVM)whichisbasedonclassification，isproposedtecognisedif|FerentpattemsTheresultofexp

6、erimentindicatesthatthe“，ononlinearanalysismethodise行ectiVe，andthetwoen仃opiesofsymbolicdynamicsmethodarebothbettermantheconelationdimensionmethodevenifunderthesmallsamplesconditionInordertopredictthefaulttrendofthebearin

7、g，thenonlinearlocalpredictionalgorithmisusedwhichisbasedonthechaotictimeseriesinthisdissertationTheresultofexperimentindicatesthatthepredictionalgorithmhaSagoodprecisionKeyWbrds：rollingbearings，faultdiagnosis，thenonlinea