智能建筑暖通空調(diào)控制系統(tǒng)的故障檢測(cè)與診斷.pdf

1、上海土學(xué)碩士學(xué)位論文圖書分類號(hào)：TP277單位代碼：11903學(xué)號(hào)：03720533上海大學(xué)工學(xué)碩士學(xué)位論文智能建筑暖通空調(diào)控制系統(tǒng)的故障檢測(cè)與診斷姓名：胡暾導(dǎo)師：趙哲身(教授)學(xué)科專業(yè)：檢測(cè)技術(shù)與自動(dòng)化裝置上海大學(xué)機(jī)自學(xué)院2006年2月上海土學(xué)碩士學(xué)位論文ABSTRACTFaultdetectionaflddiag工10sis(FDD)forheacin島砌tilation，airconditioning(HVAC)contr01sy

2、stemsinintelligentbuilding(Ⅲ)isveryiInportantinsavingenergy，impm“ngtheco刪fortof抽doorenv的mcIlt，enhallcingmaintenaIlceandreducingmatlagementcostsHowever，wimmebuildingHVACsystembecomingmorcandmorecompIicated，itisdi伍cultforo

3、peratorStodetectanddiagnosefaultofHVACcon仃olsystemrapidlya11dtimelyonlyby廿leirexpcfiencenleadst0thedeVelopmentofautomaticfaultdetectiona11ddia弘osistechnologyhthisp印ermeprincipalcornponentaIlalysis(PCA)approachforsensorsF

4、DD，themodelbasedapproachfordanlperFDDaIldneuralnet、vorkapproachforchillerFDDarcprcscntedbasedondata丘DmtheChinahlsuranceBuildingafldSh柚曲aiFuturesBuildillg，PCAisamethodologyb鶴edonrecorrelationofthesystemvariablesinmulti—co

5、mpon肌tsstatisticsnabstractstennsoftlcirme嬲urementdataunderno蛐al叩eratiomlstatustllcnbllildmodelPCAappm∞hmodelsthesensorswiththeirme勰urementdataundernomlaloperationconmtion，themeasurcmentspacethereforeispanitionedintoprinc

6、ipalcompor啪tsubspace(Pcs)andresidualsubspace(RS)ComputingtheprojcctionofthemeagurcmentdatainRSandcomparingittothefaultlimitsquaredpredictione玎or(SPE)，wecaIldetecttheirfauhsSensorvalidiHdex(SVI)isusedtodeteⅡninethef如lltse

7、nsorbutitisnotenou曲whenmefaultisnotsi印墑callth1thispaper，孤iInprovementofSVIispresentedA1seco印izationforsensorsfhlttypeisdiscussedbascdonanal”ingthecharact耐sticofthemeasurementvalueSimulationfortcInperaturesensorfauhValida

8、tesmeresultofPCAapproachkthispaper，themodeloftraVelpercentageofdampertoa打flowisobtajnedbasedonmesystemid肌tificationtheoryThefaultlinl“，whichisusedtodetected出衄p盯fau】l，isdefinedaccordingtothestatisticcharacte—sticofmeresid