基于轉(zhuǎn)子-軸承耦合系統(tǒng)的耦合故障機(jī)理分析及智能診斷.pdf

1、南京航空航天大學(xué)碩士學(xué)位論文基于轉(zhuǎn)子軸承耦合系統(tǒng)的耦合故障機(jī)理分析及智能診斷姓名：侯佑平申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：載運(yùn)工具運(yùn)用工程指導(dǎo)教師：陳果20070101基于轉(zhuǎn)子軸承耦合系統(tǒng)的耦合故障機(jī)理分析及智能診斷IIABSTRACTRubbingoftherotarymachine’srotsystemisusuallythesecondfaultwhichresultsfromunbalancemisalignmentoilwhirlsoo

2、n.Thesignaloutputusuallyhasthreeacteristics:periodicquasiperiodicchaosithascomplicatednonlinearacteristics.Thegeneralhighspeedrotarymachinesarealwayssupptedondynamicpressureslidingbearing.Butfsomerotarymachinesofwhichthe

3、weightstructuresarehighlyexigentsuchasaeroengineusuallyadoptrollingbearing.Thetwotypesofbearingareappliedwidely.Firstlyinthispapertherotslidingbearingcouplingsystemmodelwithcouplingfaultsisestablishedinthemodelthenonline

4、aroilwhirlfceisconsideredthreefaultsnamelymassunbalanceoilwhirlrubbingareincluded.SecondlytherotrollingbearingcouplingmodelisestablishedinwhichtheHertziannonlinearcontacttheradialbearingclearanceareconsidered.Finallyther

5、ubbingmechanismofthetworotsystemsisstudiedthefrequencydomainacteristicsareextractedtheacteristicsinfmationofthecouplefaultsareanalyzedbyusingthebitofshaftcenterfrequencyspectrumthreedimensionalfrequencymappoincarmapbifur

6、cationplotsoon.Afterenoughrubbingsamplesinvariousstatesareobtainedthroughnumericalsimulationoftwodynamicmodelsastructureselfadaptiveneuralwkisconstructedthesimulationsamplesareusedtotraintesttheindertoobtainthemostexcell

7、entconfiguration.Finallythesuccessfullytrainedwkisusedtodiagnoserubbingcouplingfaultofsamplesfrommultifunctionsrotsimulationtestingdeskaeroenginerottest.Theresultsvalidatedtheusefulnessofthedynamicsmodelswhichareestablis

8、hedinthispaper.Finallyindertoextractthecouplingfaultsacteristicsfurtherthecrelationdimensiontheyisappliedtotherotsystemsusedthenonlineartimeseriesanalysistheythroughthephasespacereconstructionofthesignalsobtainedfromthed

9、ynamicmodelsthecrelationdimensioniscalculated.Thedisciplineofthecrelationdimensionofcouplingfaultsisstudiedisactedastheimptantacteristicstoidentifythecouplingfaults.Keywds：rotslidingbearingrollingbearingcouplingdynamicsu