本文選題：統(tǒng)計(jì)過程控制　切入點(diǎn)：CUSUM控制圖　出處：《四川師范大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：控制圖是對(duì)生產(chǎn)過程進(jìn)行質(zhì)量控制的一類重要工具,CUSUM控制圖是控制圖理論中非常重要的一類控制圖,它是由序貫概率比檢驗(yàn)推得的,具有較好的統(tǒng)計(jì)性質(zhì).針對(duì)用CUSUM控制圖進(jìn)行過程監(jiān)控時(shí)遇到的一些問題,本文做了以下三方面工作:第一,CUSUM控制圖對(duì)現(xiàn)實(shí)生產(chǎn)過程進(jìn)行監(jiān)控時(shí),在參數(shù)選取上需要根據(jù)實(shí)際情況進(jìn)行斟酌才能達(dá)到較好的監(jiān)控效果.文中結(jié)合電動(dòng)汽車電機(jī)性能的檢測(cè)數(shù)據(jù),說明如何應(yīng)用CUSUM控制圖對(duì)生產(chǎn)過程進(jìn)行在線監(jiān)控.有效地利用CUSUM控制圖對(duì)電動(dòng)汽車電機(jī)性能檢測(cè)數(shù)據(jù)進(jìn)行在線監(jiān)控,能夠規(guī)避傳統(tǒng)檢測(cè)方法的不足,及時(shí)給出生產(chǎn)過程發(fā)生系統(tǒng)誤差的預(yù)警信息,提前做好檢修,降低產(chǎn)品損失率.第二,應(yīng)用CUSUM控制圖解決實(shí)際問題時(shí),需要對(duì)監(jiān)控的數(shù)據(jù)提前做出準(zhǔn)確的分析,擬合數(shù)據(jù)潛在的分布形式,預(yù)估可能發(fā)生漂移的大小,而這些分析往往比較困難.文中引入自適應(yīng)非參數(shù)CUSUM (ANC)控制圖,使得在對(duì)過程進(jìn)行監(jiān)控時(shí)省去擬合參數(shù)分布與估計(jì)漂移大小的步驟,實(shí)現(xiàn)對(duì)生產(chǎn)過程的有效監(jiān)控.同時(shí)以對(duì)電氣產(chǎn)品絕緣性能數(shù)據(jù)的監(jiān)控過程為例,闡述ANC控制圖使用方法及監(jiān)控效果.第三,為了使控制圖在對(duì)過程進(jìn)行監(jiān)控時(shí),既能夠監(jiān)控各種分布形式的數(shù)據(jù),又能夠監(jiān)控不同大小的漂移,同時(shí)還能根據(jù)當(dāng)前樣本信息動(dòng)態(tài)決策下一步如何抽樣,提高監(jiān)控效率.文中結(jié)合變采樣區(qū)間技術(shù)構(gòu)造VSI-ANC控制圖,詳細(xì)說明該控制圖參數(shù)的設(shè)置與選擇,給出一些參數(shù)設(shè)置參照表;并將VSI-ANC控制圖與ANC控制圖進(jìn)行比較,說明監(jiān)控效果;同時(shí)將VSI-ANC控制圖應(yīng)用到經(jīng)典實(shí)例中進(jìn)行監(jiān)控原理的說明與監(jiān)控效果的驗(yàn)證.
[Abstract]:Control chart is an important tool for quality control of production process. CUSUM control chart is a very important control chart in control chart theory. It is derived from sequential probability ratio test. Aiming at some problems encountered in the process monitoring with CUSUM control chart, this paper has done the following three aspects of work: first, when the control chart of CUSUM is used to monitor the actual production process, In order to achieve better monitoring effect, the selection of parameters needs to be considered according to the actual situation. In this paper, the performance of electric vehicle motor detection data, This paper explains how to use CUSUM control chart to monitor the production process on line, and how to use CUSUM control chart to monitor the performance data of electric vehicle motor effectively, which can avoid the deficiency of traditional detection method. The early warning information of the system error in the production process is given in time, the overhaul is done well in advance, and the loss rate of the product is reduced. Secondly, when using the CUSUM control chart to solve the practical problems, we need to make an accurate analysis of the monitored data in advance. It is difficult to fit the potential distribution of data and estimate the magnitude of possible drift. In this paper, adaptive nonparametric CUSUM ANC control chart is introduced. When monitoring the process, the steps of fitting the parameter distribution and estimating the drift are omitted to realize the effective monitoring of the production process. At the same time, the process of monitoring the insulation performance data of electrical products is taken as an example. The use method and monitoring effect of ANC control chart are expounded. Thirdly, in order to make the control chart monitor the process, it can not only monitor all kinds of distributed data, but also monitor the drift of different sizes. At the same time, it can also dynamically decide how to sampling according to the current sample information to improve the efficiency of monitoring. This paper constructs VSI-ANC control chart combined with variable sampling interval technology, and explains in detail the setting and selection of the parameters of the control chart. Some parameter setting reference tables are given, and the VSI-ANC control chart is compared with the ANC control chart to illustrate the monitoring effect. At the same time, the VSI-ANC control chart is applied to the classical examples to explain the monitoring principle and verify the monitoring effect.
【學(xué)位授予單位】：四川師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：O213.1

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 劉瀏;鄧澤培;張健;訾雪e，

本文編號(hào)：1564816