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基于符号有向图与定性趋势分析的化工过程故障诊断方法(英文) Introduction Thechemicalindustryhasbeenaveryimportantsectorinmanycountriesallovertheworld.Ithascontributedgreatlytotheeconomicgrowthofmanynations.Nonetheless,aswithanyindustry,chemicalmanufacturingprocessesarenotimmunetofailures.Thesefailurescancauseseriousdamagetoequipment,leadtosafetyhazards,andevencausefatalities.Itishenceimportanttodevelopeffectivefaultdiagnosistechniquestoensurethereliabilityandsafetyofchemicalprocesses.Thispaperpresentsamethodforfaultdiagnosisofchemicalprocessesbasedonsymboldirectedgraphsandqualitativetrendanalysis. SymbolDirectedGraphs Symboldirectedgraphs(SDGs)areusedtovisuallyrepresentthestructureandflowofchemicalprocesses.Theyarealsousedtorepresenttheirdynamicsandtoshowtheinteractionsbetweenthevariouselementsoftheprocess.TheSDGisagraphmodelthatconsistsofnodesandarcs.Thenodesrepresentthedifferentelementsoftheprocesssuchasequipment,units,andstreams.Thearcsrepresenttheconnectionsbetweenthenodes,andthedirectionofthearcrepresentsthedirectionoftheflowofmaterialorinformation. QualitativeTrendAnalysis Qualitativetrendanalysisisanotherimportanttoolusedinprocessfaultdiagnosis.Itisamethodusedtoanalyzethetrendsinprocessvariablesovertime.Thisanalysisisbasedonaclassificationofprocessvariablesintoasetofqualitativestates.Thesequalitativestatesaredefinedbasedonthebehaviorofthevariableindifferentsituations,suchassteady-state,transient,orfaultconditions.Thestatesarecharacterizedbytheirattributes,suchasdirection,rateofchange,andmagnitude. MethodforFaultDiagnosis TheproposedmethodforfaultdiagnosisofchemicalprocessesisbasedonacombinationofSDGsandqualitativetrendanalysis.Thismethodinvolvesthreemainsteps:SDGcreation,trendanalysis,andfaultdiagnosis. ThefirststepisthecreationofanSDGthatrepresentsthechemicalprocess.Thisincludestheidentificationoftheequipment,units,andstreams,aswellastheflowofmaterialandinformationbetweenthem.TheSDGshouldbeasdetailedaspossibletoallowforeffectivefaultdiagnosis. Thesecondstepinvolvesthequalitativetrendanal