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IFTAFaultTreeAnalysisFMEAFailureModesandEffectsAnalysisFTAFMEA6kvFTAFMEAIIRESEARCHONPREVENTIVEMAINTENANCEOFDRAINAGEEQUIPMENTSFORWUMINDRAINSENGINEERINGABSTRACTThereliablyrunningoftheequipmentfordrainstreatmentisveryimportanttoensureurbanenvironment,economydevelopment,andpeople’slivelihood.ThepurposeofthisresearchistoestablishanoptimalpreventivemaintenancemodeforShanghaiNo.1DrainsTreatmentInstitute,whichisveryusefulforthemaintenancemanagementofdrainageequipment.First,anoptimaloperationflowforthepreventivemaintenanceofdrainageequipmentisproposed.Then,tosimplifytheprocessoffaultanalysisandmaintenancescheduling,anassistantfaultanalysissystemisdevelopmentbasedonFTA(FaultTreeAnalysis)andFMEA(FailureModeandEffectsAnalysis)theories.Inordertoprovetheeffectivenessoftheassistantanalysissystem,anexampleforthe6KVelectricaldeviceisgiventoshowhowthisprocessisimplemented.Finally,acomputer-aidedinformationsystemisdevelopedforthepreventivemaintenancemanagementofdrainagesystem,whichisbasedontheactualneedsofShanghaiNo.1DrainsTreatmentInstitute.TheimplementationresultsshowthatthisinformationsystemisveryusefulforShanghaiNo.1DrainsTreatmentInstitutetoestablishthenewpreventivemaintenancemode.KEYWORDSPreventiveMaintenanceFTAFMEADrainageequipmentsVI1.152.263.364.475.5A86.6A87.7148.81159.921610.101811.111912.126KV2013.132114.14FMEA2415.152416.162917.173118.183219.193820.204321.214922.225023.235124.2452VII25.255326.265427.27FMEA5528.28FMEA5629.29FMEARPN57VIII1FMEA232FMEA263274Cs285Ce286CA3073083393310341135123513351436153616451746184619faulttree4720FMEA4721481200711822007118200711811.1,1.2(FDM)(TBM)(CBM)(TPM)(PM)[1]1(FDM)2TBM,,,3RCM:,2MTTRRCMRCMa.b.c.d.4ProactiveMaintenancePM5(TotalProductiveMaintenanceTPM)TPM1975TPMTPM[2]3EmersonsAMSsuiteofsoftware20%100%50%10$306,0001.312,31.2.3.42.199[3]4.5.6.2.22.2.11FMEA51fig1Organizationframework2.2.262fig2Theoptimalprocessforfaulttreatmeat3fig3Theoptimalprocessforemergentfaulttreatmeat2.32.3.17ETAEventTreeAnalysis10104FIC―TI―PI―A564fig4Reactiondeviceflow85Afig5FigureoftransportationsystemformaterialA6Afig6FigureoftransportationsystemformaterialBAABBCCFICABC96ABC2.3.2FTAFaultTreeAnalysis[4]2.3.3(FMEA)FMEAFMEA[2]FMEAFMEAFMEAFMEA[5]1.2.FMEAFTAFMEA2.410,2.4.12.4.262.4.3FTAFMEAFTA,,,,FMEAFMEAFTAFMEA113.13.1.1FTA7(FaultTreeAnalysis)(Watson)1962(Meams)Hass)(Schroder)(Jackson)FTAFTA60FTA1965FTAFTA1974(RasmussenReport).FTAETAFTAFT(FaultTree)FTFTA3.1.2(FTA)FTA[8]1122FTA3FTA,(4):FTAFTA,,FTA(0,1),FTA,FTAFTAFTAFTA3.1.3(1)(2)(3)(4)(5)(6)(7)(8)(9)[9]3.21.(1),(2)13(3)2.(1)(2),(3)3.4.5.(SETSRISA)FTAFTA3.33.3.1[10](1)7a14(2)7b,7c(3)7d7e7fig7Basiceventsymbols3.3.2(1)E1E2EnEE8a(2)E1E2EnEE8b(3)8cabcde1581fig8Logicdoorsymbols1(4)m(mn)m9a,m=1m=n(5),9b(6)9c(7),A,9d(8)A9em/nEE1E2EnE1E2EnabcAEE1E2EnEE1E2Enabc1692fig9Logicdoorsymbols23.4FTAFTA3.4.13.4.1.1(1)EE1E2EnE1E2EndeAA17(2)(3)(4)(5)3.4.23.4.2.11973Fussell(STM-SyntheticTreeMethod)Apostolakis(DT-DecisionTable)1STM(MFT)MFT2(DT)///,()183.53.5.1101110fig10FacilitiesofWuminsewageengineering1911fig11componentsofthehighvoltagetransducer3.5.26KV[3]6KV6KV6KV20126KVfig12instabilityanalysisforthevoltageof6kVpowersupply126KV3NoNoNoNoYesYesYesYesYesNo21413fig13inquiringofthebreakerfaultfortripASP.NETSQLServerNoNoNoNoYesYesYesYesFMEA22FMEA4.1FMEAFMEA2050(Grumman)FMEA60(NASA)1963NPC250-1(DesignReview)FMEAFMEAFMEA1974MIL-STD-1629FMEA1977FMEAFMEAFMEAFMEAFMEA1985T-(InternationalElectrotechnicalCommissionIEC)FMEAFMEAFMEA1993QS9000FMEACEFMEAFMEAFMEA:IS014001FMEA[5]4.2FMEA4.2.1FMEAFMEA11FMEAFMEA23,FMEAFMEADesignFMEA-DFMEAFMEA(ProcessFMEA-PFMEA)[11](1)FMEA(DFMEA)FMEAFMEA(DFMEA)1FMEAFMEAFMEAFMEAFMEAFMEA1FMEAFMEAFMEAFMEAFMEAFMEAFMEAFMEA(2)FMEA(PFMEA)FMEAFMEA(PFMEA),1FMEAFMEAFMEAFMEAFMEAFMEAFMEA4.2.2FMEAFMEA14FMEA241FMEAFMEAFMEAFMEA2FMEA;3(15)FMEA,FMEA14FMEAfig14AnalysisstepsforFMEA15FMEAFMEA25fig15Reliabilitysquarediagram4FMEA:a.b.c.d.e.56FMEAFMEA7:8FMEA9FMEAFMEA4.2.3FMEAFMEAFMEA2FMEA262FMEA/GJB1391-92MIL-STD-1629AISO/TS16949ISO/TS16949IATFISO/TS16949FMEAQS9000FMEAQS9000FMEASAEJ1739FMEASAEARP5580MIL-STD-1629FMEAMIL-STD-1629AGJB139192MIL-STD-1629AFMEAQS9000FMEAFMEAQS9000FMEA4.3FMEA1(RiskPriorityNumber)QS9000FMEAFMEA27RPNQS9000FMEAa.EffectSeverityRankingS--1-10b.OccurrenceProbabilityRanking,O1-10c.(DetectionDifficultyRanking,D)1-10RPNOccurrenceProbabilityRankingEffectSeverityRankingDetectionDifficultyRankingRPNOSD4.1RPNRPNRPNRPNRPNRPN[12](2)a.CsCs=(C1*C2*Ci)1/n1=Ci=10(4.2)()Ci(3):3Ci1.2Ci=110FMEA283Ci=1103Ci45Ci=11044CsCs7104724=2b.CeCe=F1*F2*F3*F4*F5(4.3)F1;F2;F3;F4;F5Ce55CeCe55331.51.5(3)MIL-STD-1629A16FMEA2916fig16DamagerankingmatrixdiagramCr1616(Cr),CrCrFailureModeCriticalityNumber,CmCr=Cm(4.4)Cm=pt(4.5)CmFaillureEffectProbabilityFailureModeRatiopPartFailureRateABCDEFMEA30T6CA6CA4(levelofrisk)4SACW7(17)S2A1G2W227S(Harm)S1:S2S3S4CatastropheA(Exposure)A1A2GGlG2WWl()W2()W3:()FMEA3117fig174.4FMEAFMEAFMEAFMEA71035KV6KV18FMEAS1S2S3S4A2A1G2G1G1G11234321-W1--123456W3W256745678FMEA3218fig18Thestructureoftheassistantfacilitiessystems4.4.1FMEAFMEA33FMEA881098h2h82h-4h2h760min-120min60min630min