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1、中國石油大學（華東）碩士學位論文基于MICA方法的間歇過程監(jiān)控研究姓名：張曉玲申請學位級別：碩士專業(yè)：控制理論與控制工程指導教師：田學民20080501獨立成分，并利用，2和SPE統(tǒng)計圖監(jiān)測過程中是否有故障發(fā)生。FS．MKICA方法不僅能提取間歇過程中的非線性特性，而且減少了基于全部樣本建模的計算代價，對青霉素發(fā)酵過程的監(jiān)控結果顯示，該非線性算法比線性MICA方法檢測故障時更靈敏。關鍵詞：間歇過程，故障檢測與診斷，多向獨立成分分析，自適應算法，非線性BatchProcessMonitoringBased011MICAMethodsZhangXiaoling(ControlTheoryandCo
2、ntrolEngineering)DirectedbyProf．TianXueminAbstractprocesseshavebecomemoreandmoreimportantinmodemindustrialprocesses．Inensuringthesafetyandstabilityofbatchprocessesandhighqualityfmalproduct,on-linemonitoringandfaultdiagnosisinbatchprocessesemergeasanessentialandimportanttask．Asthedevelopmentofon-line
3、measurementinstrurnentsandcomputertechnology，largeamountsofprocessvariables’datacanbecollectedmoreeasilythanbefore．ThedataCanbeanalyzedtosupervisetheprocessbehavior,byminingthevaluableinformationandresources．Multi-wayprincipalcomponentanalysis(MPCA)andmulti-waypartialleastsquares(MPLS)，whichassumeth
4、atthevariablesmustsubjecttothenormaldistributionconditionandonlyutilizethesecond—orderstatisticalinformation,areusedmostwidelymultivariatestatisticaltechniqueinbatchprocessesmonitoring．Multi-wayindependentcomponentanalysis(MICA)，onetypeofmultivariatestatisticalmethodbasedonICAtechnique，isrecentlydev
5、elopedtoapplytothebatchprocessesmonitoring．ThismethodCantreat、析ththree—waydataofbatchprocessesmoreeffectivelybecauseitutilizesthehiIgh—orderstatisticalinformationandavoidstheassumptionofGaussiandistribution．Inaddition，theextractedlatentvariablesbyMICAarestatisticallyindependentwhileprincipalcomponen
6、tsgeneratedfromMPCAalemerelyde-correlated．Therefore，theindependentvariablesorcomponentscandescribetheprocessescharacteristicmoreintrinsicallythanMPCAorMPLS．Inthiswork，MICAbatchmonitoringmethodisdiscussedandconsideringthecharacteristicsofbatchprocesses，twonewkindsofmonitoringmethodsareproposedbasedon
7、MICA．Inviewofbatch—to—batchvariationinmostindustrialbatchprocesses，anadaptiveMICAmethodisproposedtocapturethedynamicvariationamongdifferentbatches．ThisapproachfirstestablishesanMICAmodelbasedonthehist
