mspc 中文意思是什麼

mspc 解釋
多變量統計過程式控制制
  1. 4. the application of mspc in continuous process and batch process is introduced, basing on the processes of synthesizing of phosphonic acid dimethyl and batch cooling crystallizer

    4 、分別以農藥原料亞磷酸二甲酯生產過程和間歇冷凝結晶生產過程為應用背景,介紹了多變量統計過程式控制制在連續過程和間歇過程中的應用。
  2. For the process of synthesizing of phosphonic acid dimethyl, the significance of application of mspc on it is discussed, the parameters and original data are deduced and estimated, and process monitoring and diagnostic simulation are given based on simplified model

    對于亞磷酸二甲酯生產過程,論述了對其進行多變量統計過程式控制制的意義,對該生產過程的物性參數和初始數據進行了推導和估計,並在經過簡化的生產控制模型基礎上進行了多變量統計過程監控和診斷模擬。
  3. For the process of batch cooling crystallizer, glide windows mspc is applied based on the original data from simulation programs, and it works well. 5. lastly, some future research areas are highlighted

    對于間歇冷凝結晶生產過程,以其模擬程序為數據來源,應用滑動窗口多向主元分析方法進行統計過程式控制制,說明該方法在間歇過程的監控和診斷中的作用和特點。
  4. In company with the advance of automation level and the increase of computer memory capacity in working site, the collection and storage of process data lay foundation for mspc

    隨著生產過程系統自動化程度的提高和工業現場計算機設備存儲容量的增加,採集和存儲大量過程變量和產品質量數據已為多變量統計控制的應用奠定了基礎。
  5. Compared with the svspc and its problem and shortage, the main statistical variables and technique of mspc are emphasized. multi - dimension data is transformed to the analysis of statistical variables themselves basing on these statistical variables 4. basing on the model of synthesizing of phosphonic acid dimethyl, we realize the mspc on this process through simulation

    通過與單變量統計過程式控制制對比,指出其所固有的局限和問題,概述和總結了多變量統計過程式控制制中的主要統計量和基本分析處理方法,通過各種統計量,將多變量的多維數據轉化為對統計量本身的單變量處理,對實際過程的監控提供了方向。
  6. The work in this thesis is based on three technologies of multivariable statistical process control ( mspc ), the principal component analysis ( pca ), the partial least squares ( pls ) and the kernel density estimate ( kde ). the work involves the following contents

    基於多元統計過程式控制制方法中的主元分析法,偏最小二乘法和核函數分析法這三種技術,本課題主要研究了以下內容: 1 )用面向對象的方法開發多元統計過程式控制制狀態監測應用系統。
  7. Multivariable statistical process control ( mspc ) is a modeling method only depending on the process past data for this purpose

    多變量統計建模方法是一種不依賴于過程機理的建模方法,其唯一需要的信息是過去成功生產過程數據的集合。
  8. The second part of the thesis is a part of certain project which is sponsored by the aeronautics foundation. this thesis also discusses the implementation of corresponding mspc software

    其中,根據第一個設想所做的一些研究成果已經作為論文在2002年度的國際學術會議comadem上發表,並得到國際同行一定程度的認可。
  9. Of course, it is often effective to apply conventional multivariate statistical process control ( mspc ) to the process whose process variables are subjected ( or approximatively subjected ) to multivariate normal distribution

    本文的研究正是著眼于克服這兩大假設條件,使過程監控技術能更好地適用於實際工業生產過程而進行的。
  10. 2. several mathematical tools used in mspc are introduced, including principal component analysis ( pca ) and multi - way principal component analysis ( mpca ), principal component recursion ( pcr ), partial least square ( pls )

    2 、介紹了幾種用於多變量統計過程式控制制的數學工具,包括主元分析及多向主元分析、主元回歸、部分最小二乘等方法。
  11. 3. single - variable spc and its disadvantages are pointed out, then some statistical variables and techniques of mspc are emphasized. multi - dimension data processing is transformed to the analysis of a single statistical variable by defining different statistical variables

    3 、介紹了單變量統計過程式控制制方法及其所固有的局限性,概述和總結了多變量統計過程式控制制中的主要統計量和基本分析處理方法,為對實際生產過程的監控提供了方向。
  12. Single variable statistical process control ( svspc ) and mspc are both spc, the shortage of svspc is that it only notices the value of one variable at some moment, not suiting to analyze the multivariable process data with interrelation among them

    統計過程式控制制包括單變量統計方法和多元統計方法。傳統的單變量統計過程式控制制技術的局限性在於僅注意監視某一時刻的一個質量變量或關鍵過程變量,不適合分析變量間存在相關特性的多變量過程數據。
  13. Founding on the space mapping, mspc can deal with multi - dimension data, solving a set of problems appearing in practice. but there are some problems in mspc. from the application of mspc, this dissertation investigates the application of mspc and its shortage, gives settlement and tries to explain the means of pc, making mspc more practical

    本文從多變量統計過程式控制制的應用性出發,探討現有方法在過程式控制制兩類典型生產過程? ?連續生產和間歇生產中實際應用及其存在的問題,提出解決方案,並嘗試對主元意義作出物理解釋,使得多變量統計過程式控制制更具有實用性。
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