锅炉混合智能故障诊断技术的研究

南京工业大学硕士学位论文锅炉混合智能故障诊断技术的研究姓名：花伟申请学位级别：硕士专业：控制理论与控制工程指导教师：张广明20060601MATLABVBQVBMATLABABSTRACTTheboilerisoneimportantindustryandthecivilequipment,andithashighsecurity.Itisvitaltodevelopthetechnologyresearchtofaultdiagnosisofboilerequipmentforsafeoperation.Accordingtotheexistingfaultdiagnostictechnologyforboilerequipment,theauthorputforwardakindofhybridintelligentdiagnosticmethodinhopeofimprovingtherapidityandaccuracyinfaultdiagnosisofboilerequipment.Itintegratesdifferentintelligentfaultdiagnosistechniques,includesfuzzymathematics,neuralnetworktechnologycombinewithtechnologyofexpertsystem,etc.Firstly,onthebasisofanalyzingoperationcharacteristicandgeneralfaultcharacteristicoftheboilerequipment,akindofhybridintelligentdiagnosticmethodwiththeoverallsystemframehasbeenprovided.Thenithasmodulusofsetting-upinfaultdiagnosticknowledgebasementandusesMATLABprocedureoffaultdiagnosisinferenceenginebasedonmodularfuzzyneuralnetwork.Further,thewholesystemprocedureisbuiltwiththeVisualBasiclanguage,theinterfaceisdesignedatthesametime.Whiletraininginsample,throughestablishingsomeinitialparameter,suchasrulecount,weightingindex,studyrate,discontinueerrorinadaptivedegreenetwork,alternateerrorinregularnetworkandetc,thenitcarriedonthetrainingfortheintroductionsampleaccordingtothestudyalgorithmofmodularfuzzyneuralnetwork,eventuallyanalyzedtherelationshipofabove-mentionedparametersandstudysquareoferrorQ.Theoverheateddeviceofhightemperaturebrokethatakindoftypicaltroublesinboilersystemhadcarriedontheartificialexperimentfinally.Theexperimentshows:Undertheselectedparametercondition,allthesampleinthispapercanapproachtominorstabilizenumericalvalueandrealizerapidlyconvergentspeedandlesslearningerror.Inviewofboilerequipmentcharacteristic,thehybridintelligentfaultdiagnosticsystemforboilerequipmenthastheadvantageofclean-cutarrangement,easilyunderstanding,higherinferenceefficiency.Whatismore,thelogicalthinkingandvisualizethinkingabilityofhumanexpertcanbesimulatedappropriately,andboilerequipmentfaultcanbediagnosedintime.Thisdiagnosticresearchmethodprovidesthestudyvalueandguidancetootherspecialequipments.KEYWORDS:BoilerIntelligentfaultdiagnosisHybridstructureVBMATLAB11.11.1.1“[1]30L0.1MPa0.1MW”[2]1.1.2122“”3“”4“”“”[0]1.1.31)1.131.1Fig.1.1Theprocessoffaultdiagnosissystem2)[3]PC(1)(2)(3)(4)(5)(6)(7)(8)1.241.23)[4](1)(2)(3)1.2Fig1.2Thegeneralstructureofintelligentfaultdiagnosis5(4)(5)“IF…THEN…”(6)(7)[5-6]64)(1)(2)[7]···[8]71.31.2[9-11][12-13]1.3Fig1.3Thestructureofmixedknowledgeexpertsystem81976EdisonMohave7080EPRI[14]ESCARTAEPRI1992Eddystone[15-16][17]8090[18-19]91199510“”[20-23]“”101.31.3.1111.3.2FCMWindowsVisualBasicMATLAB12132.12.1DAODAO2.1Fig2.1Mainframeworkformixtureintelligentfaultdiagnosissystemofboilerequipment142.2DAO1(1)DCS(2)DAO(3)DAO(4)(GUI)152(1)(2)GUI(3)GUI3BPFCMMATLABFCMLMS16αQ4(1)DAO(2)(3)52.32.3.1117“”2(AI)3:“”“”:182.3.21)max-min192):2.3.32.2201)“”π2)(1)(OOP)+2.2Fig.2.2Structureoffaultdiagnosisinformationprocessinganddiagnosticmethodsinboiler21“”Windows——VisualBasicVB(ADO)(ODBC)(2)3)4)2.422233.1“”,1)[24-25](1)24(2)(3)(4)(5)2)253.13.23.2.13.1Fig.3.1Theinterrelationofdiagnosisknowledges263“”“”1)“—”IFTHENRuleIFTHEN272)3)4)285)()“”[26]3.2.2[27]:293.2.3()[28]“”“”303.33.3.1[29]3.2313.2Fig3.2ThetechnicalprocedureofboilersDDMP[30]3.13.2323.1.11.2.3.4.5.6.7.,1.,,,2.3.,4.,,5.,,6.,,7.,8.,,1.,,:2.,,,,,,,,,,3.,,,,,,,,3.121.2.3.4.5.6.7.1.2.3.4.5.6.3.13331.2.3.4.5.1.2.3.;4.;5.;6.;7.1.;2.3.14:1.2.3.4.5.6.7.8.1.2.3.4.1.,,,,,,2.,51.2.3.4.6.7.341.,2.,3.,;,,4.,,5.6.1.,,,,,,,2.,,,,.,,,,,3.1612.3.4.1.2.3.4.5.,,,,,.3.2.()1.2.3.4.1.:2.;3.;4.3.21.352.3.1.;2.;3.3.2()1.;2.1.;2.3.21.2.3.4.5.6.7.1.;2.;3.3.21.2.:3.;4.1:2;3;43.21.2.3.;4.;365.6.;1:2:33.3.2[31-34]1200MW540510545530IF545THENWITH1IF530THENWITH2233.13.3373.3BF00010.9BF00020.14“”IFTHEN3.43.4IFTHEN3.3.3[35-36]138(DB)(AI)DBAIAI()392“”“”Access[37-38]1nDDD,,,21ΛRnnddd,,,21ΛnnDdDdDd∈∈∈Λ,,2211Rn2E.F.Codd7040:34:/;41Access[39-40]VBGUIDAO[41]3.33.53.3Fig3.3Theprocedureoffaultdiagnosisandfaultexplanation423.53.6Id1……2070.0001classBF{BF_Id;BF_Name;BF_KGProposal}class{BF_Id=BF0002;BF_Name=;BF_KGProposal=}classderive_BF{BF_Out;BF_Dpt;BF_Proposal}Classderive_BFclassderive_1{BF_Out=0.9;BF_Dpt=;BF_Proposal=}classderive_2{BF_Out=0.6;BF_Dpt=;BF_Proposal=}classderive_3{BF_Out=0.1;BF_Dpt=;BF_Proposal=}433.73.83.7XSO443.8DI001TD001DI002TD002DI003TD018DI004TD013DI005TD014DI006TD003DI007TD009“”3.93.103.93.1045Access3.43.4Fig3.4Therelationshipofallkindsoftablesindiagnosisdatabase3.113.12463.1111.000.950.980.940.980.900.950.90.9723.1220.900.100.100.100.100.100.100.90.11247[42-45]3.13BF0004123……1.000.950.980.940.980.900.950.900.100.100.100.100.100.100.100.100.100.100.100.100.10……………………………………0.900.100.10……33.4Access484.1[46-49]IfThen1nxxx,,,21Λ2IfThenIfThenN))(())()()((''2'21'1yBYthenxandAxandAxAIfinn=Λnxxx,,,21Λ)('yBi4.1MiiRinxix1x'1y'iy'ny4.1Fig4.1Fuzzynervenetworkruledbyregulation49'''2'1BAAARni××××=ΛnAAAΛ,,21i)))(((21ΛοΛοοiniRAAAY=ο4.23ππ3π50π≤−≤−−≤−≤−−=otherscrcrcrcrcr,020,212,)1(2),,(22λλ