基于pca的流程工业故障诊断方法分析

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1、西南科技大学硕士研究生学位论文第II页AbstractFaultdiagnosisoftheprocessindustryplaysanimportantroleinensuringthesafetyofindustrialproductionandimprovingproductquality.Thispaperstudiesondatainformationextraction,multi-modeandcomplexdistributedprocessdataoffaultdiagnosisforprocessindustry.Themaincontentsareasfollo

2、ws:(1)FortraditionalPCAmethodonlyconsidersdata’sglobalstructureintheprocessofdatadimensionalityreduction,thispaperappliesamethodcalledlocalandglobalstructurepreservingprojections(LGSPP),whichcanprojectthedatatoalow-dimensionalfeaturespacethathassimilarlocalityneighborhoodstructureandglobalstruc

3、turewithoriginalspace.Afterprojection,statisticsandBayesianclassifierareusedtodetectandidentifyfault.Consideringthedynamicproblemindata,augmentedmatrixcontainingthefirsthobservationsisconstructed.SimulationonTEprocessidentifiesitseffectiveness.(2)Tosolvetheproblemofmulti-modeinindustrialprocess

4、data,thispapermakessomeimprovementsfromtheperspectiveofdatapreprocessing.Localneighborhoodstandardization(LNS)isintroducedtodatapreprocessing,thenthepaperproposesLNS-LGSPP.ThismethodappliesLNStopreprocessdata,soitcannotonlysolvetheinfluenceofdifferentmagnitudesbutalsoremovethemulti-distribution

5、feature.ThentheprocesseddataisappliedtoLGSPPtodetectfaultofmulti-modalprocess.ThevalidityoftheproposedmethodisillustratedthroughnumericalandTEprocess.Keywords:faultdetection;principalcomponentanalysis;localitypreserveprojection;multi-mode;localneighborhoodstandardization万方数据西南科技大学硕士研究生学位论文第III页

6、目录１绪论............................................................11.1课题研究背景及意义........................................11.2故障诊断概念及方法........................................21.2.1故障诊断概念........................................21.2.2故障诊断方法........................................21.3基于多元统计理论的故障诊断研究现

7、状.......................41.4本文主要内容...............................................72基于PCA的故障检测..............................................92.1主元分析基本原理..........................................92.2主元选取方法...........................