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200836SCIENCE&TECHNOLOGYINFORMATION1.,。,,70%,19%,80%[1]。,,4#,、、,48[2];,。,。、,,,,。[3]:;;;;;。、,,,,。。2.2060。,19791983,,。,、,,,,[4]::。2060,(FFT),,。:。60,,。。:。,。,,。:。2090,,。、、,。3.、、、,、、、、。,[5]:1)80,,,,,。,,。2),。,,,。,。3),,,,。,,。4),,,、,。,,,:1);2),;3),,、,;4),。4.、,。(131)112(1.511400;2.443002)【】,,,。,,。【】;;ResearchonFaultDiagnosisMethodofRollerBearingZhouQiangqiang1LIZhi-xiong2(1.PanyuBureauofGuangdongPowerGridCorporation,Guangzhou511400,China;2.CollegeofMechanicalandMaterialEng.,ChinaThreeGorgesUniv.Yichang443002,China;)【Abstract】Applyingfaultdiagnosisprocedureforrollerbearingcanrecognizethefaultsignalsintime,whichcanreducetherelatedaccidents.Thefaultdiagnosismethodofrollerbearingwasintroducedinthispaper,andthedevelopmentandtrendofvibrationanalysisweremainlypresented.Meanwhilethemainexistingproblemsinfaultdiagnosisofrollerbearingwerediscussedintheend.【Keywords】Rollerbearing;Faultidentification○○114200836SCIENCE&TECHNOLOGYINFORMATION●(114),,。,,:1),,,,,,;2),,,,;3),,,。,。【】[1].[M].,2002.[2].[J].,2005(12):34-35.[3].[D].,2005.[4].[M].:,2001.[5]Li,B.;Chow,M.-Y;Tipsuwan,Y;Hung,J.C.Neural-network-basedmotorrollingbearingfaultdiagnosis[J].IEEETransactionsonIndustrialElectronics,2000,47(5):1060-1069.:(1985—),,,。(1982—),,,。[:]●GPSXYZXGYGZGX-XGY-YGZ-ZGEG01588608156584608152+40+4,GPS,。EG02707488171705482173+2+6-2EG03662959787665956785-3+3+2EG04894407734897404733-3+3+1(GB50026-93)P52.1.8P213.3.3。。GPSGPS,GPS,E3TopconHiperGPS,,,,15°,≥4,≥4,≥1.6,≥45min,3mm,120°3mm,。Pinnacle。L1&L2c—,,。,,GPS,GPS,。GPS:,±10mm,。7.RTK、,,,,,,、。,GPSRTK,RTK。,4,:::LatN36.160141159dms;LonE115.401847929dms;H23.062m:N4015236.926m;E215380.617m;H37.875m:1.00112721;:359.5351dms。:N1.8201secs;E8.657RTK,,;,(、、、)、、;,、;,,。RTK,GPS:17mm96.9%;4,17mm(:17mm)94%。,RTK。。8.GPSGPS,GPS,。RTK,RTK,,,。、,,、、、。RTK。,。【】[1]....GPS[M].,1998.[2]SL197-97.()[S].[3]GB/T18314-2001.(GPS)[S].[4]CJJ73-97.[S].:(1968—),,,,GPS、MAPGIS。[:]H(cm)V(cm)1.401.300.400.40X-XRTKY-YRTKZ-ZRTKEG01-1.6-7.3-5.3EG02+0.9+4.2+3.4EG03+8.0-6.1+6.5EG04-1.8+4.3+4.1●○○131
本文标题:滚动轴承故障诊断技术的研究
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