同步齒輪箱初始故障在線監(jiān)測(cè)與診斷專家系統(tǒng)的研究

1、武漢科技大學(xué)碩士學(xué)位論文同步齒輪箱初始故障在線監(jiān)測(cè)與診斷專家系統(tǒng)的研究姓名：劉靜申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：控制理論與控制工程指導(dǎo)教師：周鳳星20090520第1I頁武漢科技大學(xué)碩士學(xué)位論文AbstractEquipmentfaultdiagnosistechnologyisanimportantandnewareaforresearchwhichisdevelopingrapidlyinandabroadCurrentlytheanaly

2、ticaltechnologyofvibrationsignalisstillthemainmethodinmonitorandfaultdiagnosisaspectofgearandbearingIthasalreadyshapenselfcontainedtheoriesandtechniquesystem，butinfact，thevibrationsignalwhichiscorrelativewithgearandbeari

3、ngareusuallybeenpollutedbyvibrationsignalofmachineandinterferentialyawp，especiallyearlyfaultsignalisusuallyfeeble，theratioofsignalandyawpisverylowthismakecapabilityofreadymademethodineffectivelyhigherrorrate，whichrestric

4、tactualapplicationThereforethispaperconstitutethefaulttest—bedofgearandrollingbearingtosimulatethegearandbearingfaultThroughthiswaywecanresearchtheapplicationofgearandbearingdiagnosemethodtoprovidecertainreferencevaluefo

5、rcomprehensiveapplicationofgearandrollingbearingsfaultdiagnoseswithmanymethodstoprovidecertainreferencevalueforcomprehensiveapplicationofgearandrollingbearingsfaultdiagnoseswithmanymethodsThisPaperresearchthevibrationmot

6、ivationandvibrationsignaleffectwithdifferentinspiritfactorandanalyzeconcocteffectbecauseofconcussionwhichiscausedbyfaultofbearingandgearTakingthisasthefoundationtodiscussspectralanalysistechnology、resonancedemodulationte

7、chnology、waveletanalysis’StechnologywhichareusedingearandbearingdiagnoseThispapermakeuseofsimulationsignaltoexplainwaveletanalysis’sapplicationinoddityposition、eliminatenoiseofsimulation、applicationsignalanalysisThroughw

8、aveletanalysis’Stheoryandsimulation‘signal’Sapplicationopenoutwaveletanalysis’SsuperioritycomparewithotherdiagnosismethodsinfaultdiagnosisaspectSecondlywithafoundationthatunderstandingvibrationmotivationanddiagnosismetho

9、dofgearandbearingthroughthetestoffaultdiagnosisongearandbearing，weusedwaveletanalysistechnologyandresonancedemodulationdemodulationtechnologytoanalysetheactualsignalInthiswaywedistilledthefaultcharacterofgearandbearingsu

10、ccessfullyPracticeprove：comparewithspectralanalysis，waveletanalysis，technology、resonancedemodulationtechnologyresolvethequestionwhichisdifficulttoacquirefeeblefaultsignalbecauseofbignoiseandthelowSNRAtthesametime，theypro

11、videdavalidmeasuretodistillearlyfaultcharacterFinallybaseongearandbearingdiagnosismethodandexperimentdatacombinewithfaultcriterion，weresearchandsetupdiagnosticionsystemthatsuitforgear、bearingdiagnosistraitKeywords：gearbo