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1、AT-01-14-1Model-BasedFaultDetectionandDiagnosisforCoolingTowersByung-CheonAhn,Ph.D.JohnW.Mitchell,Ph.D.,P.E.IanB.D.McIntosh,Ph.D.MemberASHRAEFellowASHRAEMemberASHRAEABSTRACTFaultdiagnosisisthesubsequentstepthatthenisolatesthecauseofthefault.Thisdiagnosti
2、cstepmaynotimmedi-Amodel-basedmethodforthedetectionanddiagnosisofatelylocatetherootcauseofthefaultbutmayinvolveaseriesfaultsinthecoolingtowercircuitofacentralchilledwaterofstepsthatleadtotheidentificationofthesourceofthefault.facilityispresented.Faultsth
3、atoccurinthecoolingwaterDiagnosisisusuallyamoredifficulttaskthandetection.temperaturesensor,thecoolingtowerpump,andthecoolingtowerfanareconsidered.Thefaultsaredetectedthroughdevi-Therehavebeenmanypreviousinvestigationsintometh-ationsinthevaluesofcharacte
4、risticquantitiesfromthecorre-odsfordetectinganddiagnosingfaultsinthecomponentsofspondingvaluesforfault-freeoperation.Thecharacteristicachilledwatersystem.Usingsimulationtechniques,Papeetquantitieschosentorepresenttheperformancearetheconduc-al.(1991)devel
5、opedamethodologyforfaultdetectionbasedtance-areaproductofthetower,theapproach,theeffective-onoptimalcontrol.Todetectafault,thedeviationfromopti-ness,andfanpower.Withfaultspresent,thedeviationsaremalperformanceofthesystempowerduringoperationwassignificant
6、,whichallowsthefaultstobedetected.Thepatterncomparedwiththepowerpredictedforoptimalcontrol.Theofthedeviationsisdifferentforeachfault,allowingrulestobeuncertaintyinthepowerpredictionmeantthatsignificantdevelopedthatallowdiagnosisofthesourceofthefault.devi
7、ationsfromtheoptimalvalueswereneededtodetectthefaults.NorfordandLittle(1993)developedamethodfordiag-INTRODUCTIONnosingfaultsinventilationsystemsusingparametricmodelsforpower.ElectricalpowerwascorrelatedwiththemotorFaultdetectionanddiagnosisinheating,vent
8、ilating,andspeedcontrolsignal,andspeeddeviationswereusedtodetectair-conditioningsystemsareimportantinreducingthecostsoffaults.Grimmeliusetal.(1995)usedthedifferencesbetweenenergyandmaintenanceandimprovingcomfortinbuildings
