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《生產(chǎn)過程質(zhì)量診斷與控制技術(shù)及其智能化決策支持系統(tǒng)的方法研究》由會(huì)員上傳分享，免費(fèi)在線閱讀，更多相關(guān)內(nèi)容在學(xué)術(shù)論文-天天文庫(kù)。
1、華南理工大學(xué)博士學(xué)位論文生產(chǎn)過程質(zhì)量診斷與控制技術(shù)及其智能化決策支持系統(tǒng)的方法研究姓名：翟敬梅申請(qǐng)學(xué)位級(jí)別：博士專業(yè)：機(jī)械制造及其自動(dòng)化指導(dǎo)教師：謝存禧20030401華南理工大學(xué)博士學(xué)蘊(yùn)論文挖掘?yàn)槭侄蔚钠髽I(yè)生產(chǎn)質(zhì)量決策支持系統(tǒng)的模型框架，并研制開發(fā)了應(yīng)用在生產(chǎn)過程監(jiān)測(cè)系統(tǒng)的生產(chǎn)質(zhì)量決策支持系統(tǒng)應(yīng)用軟件，該系統(tǒng)為企業(yè)生產(chǎn)的質(zhì)量設(shè)計(jì)、質(zhì)量控制和質(zhì)量改進(jìn)提供了有力的技術(shù)支持。最后，對(duì)本課題今后的研究工作讖行了展望。關(guān)鍵詞生產(chǎn)過程監(jiān)控；決策支持系統(tǒng)；質(zhì)爨診斷與控制：糖集；相似～優(yōu)先關(guān)系ⅡAbstract
2、Quality，acriticalcomponentofthecompetitivestrategy，isaveryimportantissueinmanufacturingindustries，toensureproductswithconsistentquality，itisofkeyimportancetomonitorandcontr01theeffectivenessandefficiencyofmanufacturingprocesses．Withthedevelopmentofadv
3、ancedmanufacturingsystem，thereal—timemonitoringsystemhasextensivelyappliedinmanyenterprises．Itisveryurgenttodevelopanintelligentsystemthatcaninterpretthecomplexrelationshipsamongprocesses，diagnosethedeviatedprocessandminetheknowledgeofmanufacturingpro
4、cessesfromavarietyofmonitoringdatawhichembodiestheprofoundqualityinformation．Thispaperoutlinesanintelligentstructureofmanufacturingqualitymonitoringandcontrolsystemandanalyzestheinsightintothemanufacturingprocesseswithcomplexcorrelation．Modernmanufact
5、uringindustryistrendingtowardsmulti—productandsmallbatchautomaticproduction，andmanufacturingprocessesaredynamic，coⅢplex，randomandmulti—varied，sotheclassicalmethodscannotsatisfytheneedsofmodelingformanufacturingprocesses．Roughsettheoryhastheabilityofha
6、ndlingvagueness，inconsistencyanduncertaintyinherentin皿anufacturingprocessesandcan1earndirectlyfromthe皿onitoringdatawithoutanyadditionalinformationaboutthedata，itisapplicableandpowerfulofqualitydiagnosisformanufacturingprocesses．Inviewsofthemissingdata
7、andwrongdataoccurredinc01lectingdata，anextensionoftheclassicalroughsettheoryissuggested，themethodhasprovedtobeeffectivefor8nalyzingtheeffectrelationsanddiagnosinga11thepossiblerootcauseofmanufacturingprocessesquality．Theattributesreductionisthekeytoqu
8、alitydiagnosisbyroughset，theattributesreductionisanNPproblem，thetraditionalmethodisdifficulttobeusedintheDracticalapplicationofroughset，thepaperaddressesanefficientmethodⅢofcalculatingrelativecoreatemporaldecisiontable，wecouldgetthenexttempora
