2017- A Review of Fault Detection and Diagnostics Methods for Building Systems.pdf
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公共建筑节能监测技术综述文献。
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2.1.2 Gray Box Models
Grayboxmodels usephysicalknowledgeorfirstprinciplestospecifythemathematicalform of terms in the model, and measured data are used to empirically determine the model parameters The parameters of the gray box models are estimated using a training data set. The training data can beobtained fromtheequipment manufacturer,laboratorytests,or thefield when theunit is operating normally. A number of researchers have proposed using gray box models for building systems (Zogg et al. 2006; Nassif et al. 2008; Yu et al. 2011; Yang et al. 2013a; and Sun et al. 2014). Zogg et al. (2006) proposed a gray box model with a vector clustering method for a heat pump system. Under this method, the parameters that capture key characteristics of the heat pump are considered the state variables.The data from 12 different sensormeasurements are obtained and used toestimatethemodelparameters.Themodelparameters aretunedonlineby
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forAFDDandonlinecontrolapplications,andtheycanalsoprovideinsightintoand inderstanding offaults forfault diagnosis.Although agrayboxmodel isderivedfrommeasured data, it can beused for limited extrapolation outside of the data rangeused to obtain the correlationsbecausetheyareformulatedfromfirstprinciples.However,useofagrayboxmodel equires ahighlevel of user expertiseboth informulatingtheappropriateformforthemodel anc inestimatingmodelparameters.
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2.2.3.Summaryof QualitativeAFDDModels
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2.3.1Summary of QuantitativeAFDDModels
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2.4. AFDD Methods Based on the Combination of Various Methods
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3.CLASSIFICATIONOFAFDD IETHODSBASEDONBUILDING
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3.2.Chillers and CoolingTowers
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3.4.Whole Building
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4. ENERGY AND COST IMPACT ASSESSMENT OF FAULTS
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usedtoquantifydeviationfromthecurrentmeasurements aswellasdeterminewhetherthe currentfaultissevereenoughtowarrantservice
6. CURRENT STATE OF DIAGNOSTICS IN BUILDINGS
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园林工艺、表格Z. CONCLUSIONS
. CONCLUSIONS
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