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江苏科技大学硕士学位论文具有智能故障诊断的燃气轮机中心数据库系统研究与开发姓名：刘宏伟申请学位级别：硕士专业：@指导教师：姚寿广20070101I1234VisualStudio.NetAccessC#IIAbstractIIResearchandDevelopmentofGasTurbineCenturialDatabaseSystemwithIntelligentFaultDiagnosisAbstractCombiningwiththelong-distancefaultdiagnosisofshipusinggasturbinethisarticlecarriedoutastudyandresearchaimingattheterrestrialcenturialdatabasesystemandintelligentfaultdiagnosismodule.Thecenturialdatabasearedesignedtoconstituteaelectriccaseandworkingdatacenterfortheshipcarrierpowerequipmentandtohelptheengineerstoholdthefaulthistory,repairregister,workingdataetcandtorequirethedataifnecessary.Theintelligentfaultdiagnosismoduleisadataanalyzeandfaultdecisionmakersystembasedonthecenturialdatabasesystemandtohelpexpertstoanalyzethefaultdataanddiagnosisthefault.Basingonthetwofunctionswedesignedanddevelopedagasturbinecenturialdatabasesystemwithintelligentfaultdiagnosismodule,mainlycarriedoutthefollowingworks:Firstlycombiningwiththedataformationoftheshipcarrieddatacollectionandanalysesmoduleandcommunicationmoduledesignedandcontributedthecenturialdatabasesystemanditsman-machineconversationinterface.Carriedoutthedatarequireandperfectfunctionandadministrationoftheknowledgebaseanddatabase.Secondlybyanalyzingandsumming-uptheresearchachievementsingasturbinefieldandusingofreferencethefaultdiagnosisofthesteamturbineandotherrollingmachines.Thisarticlegivesoutanintelligentfaultdiagnosisbasedbothontheartificialneuralnetworksmoduleandonexportersystembasedonknowledgereasoningtechnique.Theself-adoptionandself-studyabilityoftheartificialneuralnetworksmoduleconqueredtheknowledgelocalizationsofthetraditionalexportersystem.Combiningwiththeknowledgebasedexportersystemrealizedthetwomodule’sadvantagesandconqueredthesignalneuralnetworkslimitationofnologicandthelimitationofcan’texplaintheresult.Thirdlybyanalyzingallkindsofknowledgeexpressmethodsthisarticleraisinganewwayofusingrelationshipdatabasetoexpressproductionlanguageknowledgeandcarriedouttoexpressandstoragetheknowledgeindatabase.Bytheunificationoftheknowledgebaseandthedatabasewenotonlyimprovedtheadmonitionoftheknowledgeandtheintelligentfaultdiagnosismodulebutalsogivenusapossibilitytoperfectanddeveloptheknowledgebaseofoursystem.FourthlywedesignedanddevelopedacenturialdatabasesystemanditsintelligentfaultdiagnosismodulebyusingC#languageintheVisualStudio.NetdevelopmentenvironmentcombingwiththeAccessdatabasesystem.Thisprojecttrainedanddetectedthesystembyusingsomeworkdataandsomefaultdataconstitutedbysmalldeviationmethod.Keywords:GasTurbine;IntelligentFaultDiagnosis;ArtificialNeuralNetworkExporterSystem11.1[1,2,3][4,5],,[6]1.260(NASA)MFPG(MachineryFaultPreventionGroup),UKMechanicalHealthMonitoringCenter[7]:,,,[8],;,,,,[9.10]80,,(CIMS,FMS),,,2[11],EPRIBentlyIRDCSI[12.13.14](WHEC),(AID),(DOC),Bently,,1000MW,[15]1987,,90,,MHM(EDF)1978,9090,PSADDIVAABBB&K[16],:7080,,80,,,1983,,,,,,3,,,[17],[18][19.20][21.22]2000Petri,,,,20008,2003,,2004,440[24.25.26][27.28][29.30.31.32],,,,,,1.3562.12.22.2.12.1[33]2.12.172.2.2[34]1)BPRBF(ART)SOMBPRBF8ARTSOMARTSOM2)BP3)CBRCaseBasedReasoning9CBRBehavior-Based2.3[33.35]2.3.11102.222.2112.32.3.2[36.37]2.312ifIFATHENBABABB13[38]LISP2.4[39.40]1214MYCINBAYES32.5153.13.23.2.13.1163.13.2.2AccessC#.NetADO.Net3.2173.23.33.3.1[41]18ifLISPPROLOG3.3.2[42]Rule[]integer19[]stringfloatstringstringfloat0~11IFaTHENa1ORa2ORa3ORRule1[a]a121Rule2[a]a2212IFb1b2b3THENbRule8[b1b2b3]b1133.43.4.1[43.44]203.3213.33.4.212223.5234.1()[46]4.24.2.1(NeuralCell)24[47]254.2.2McCullochPitts1943MP4.1...0w1nw−nw...0x1nx−nx()Tfwxy4.1100nnjjiijjiiiiIwxwxθ−===−=∑∑(1,)njnjxwθ==−(4-1)()jjyfI=(4-2)jθjiwji()f⋅S4.2.326SOMART4.2.4[48]BPBPBackPropagation4.2BP..................1x2xnxMijwqjkwLk4.2BP27BPBP1)BPBP4-2MLqijwjkwj1Mjijiinetwo==∑(4-3)j()jjofnet=(4-4)()jfnetSigmoid01()1exp[()/]jjjfnetnetθθ=+−−(4-5)iθiθ'()()[1()]jjjjfnetfnetfnet=−(4-6)jjojkwkk1qkjkjjnetwo==∑(4-7)k()kkofnet=(4-8)282)BPkokdkdp211()2LppkpkkEdO==−∑(4-9)2111()2PLPpkpkppkpEdOE===−=∑∑∑(4-10)PL4-9p211()2LkkkEdO==−∑(4-11)EjkjkEwwη∂∆=−∂(4-12)ηη0kjkkjkEEnetwnetw∂∂∂=∂∂∂(4-13)kδkkkkkEEOnetOnetδ∂∂∂=−=∂∂∂(4-14)()kkkEdOO∂=−−∂'()()kkkkkOfnetfnetnetnet∂∂==∂∂'()()(1)()kkkkkkkkdOfnetOOdOδ=−=−−(4-15)291()qjkjjjjkjknetwOOww=∂∂==∂∂∑(4-16)'(())()jkkkkjkjwdOfnetOOηηδ∆=−=(4-17)jijiijjijjnetEEEwOwnetwnetηηη∂∂∂∂∆=−=−=−∂∂∂∂()jijjOEOOnetη∂∂=−∂∂'()()jijEfnetOOη∂=−∂jiOηδ=(4-18)jEO∂∂1LjkjkjnetEEOnetO=∂∂∂−=−∂∂∂∑11()()qLjkjkjkjEwOnetO==∂∂=−∂∂∑∑1()LjkkkEwnet=∂=−∂∑1Lkjkkwδ==∑'1()Ljjkjkkfnetwδδ==∑(4-19)pk'()()()pjkpkpkpkpjpkpkpkpjwfnetdOOOdOOηη∆=−=−(4-20)j'11()()(1)()LLpijpjpkjkpipjpjpkjkpikkwfnetwOOOwOηδηδ==∆==−∑∑(4-21)pkOkpjOjpiOi30(1)()[()(1)]ijijiiijijwtwtOwtwtηδα+=++−−(4-22)1t+1t+α0α13)BP1)2)12(,,...,)MXxxx=01(,,...,)LDddd=3)(4-4)(4-8)4)(4-9)pE5)(4-20)(4-22)pjkw∆6)(4-21)(4-22)pijw∆7)2pEBP4.3NY4.3BP314.34.3.1[49.50]4.3.2BP8[51]4.14.184.2324.510000000010000000010000000010000000010000000010000000010000000014.34.3P1P2P3P41234567812345678100011000100010000100001000110111000000001000000001000000001000000001000000001000000001000000001BP4P1P2P3P4884.433104.40.9430.010-0.02
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本文标题：具有智能故障诊断的燃气轮机中心数据库系统研究与开发
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