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 对于亚磷酸二甲酯生产过程,论述了对其进行多变量统计过程控制的意义,对该生产过程的物性参数和初始数据进行了推导和估计,并在经过简化的生产控制模型基础上进行了多变量统计过程监控和诊断仿真。
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 本文从多变量统计过程控制的应用性出发,探讨现有方法在过程控制两类典型生产过程? ?连续生产和间歇生产中实际应用及其存在的问题,提出解决方案,并尝试对主元意义作出物理解释,使得多变量统计过程控制更具有实用性。
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 通过与单变量统计过程控制对比,指出其所固有的局限和问题,概述和总结了多变量统计过程控制中的主要统计量和基本分析处理方法,通过各种统计量,将多变量的多维数据转化为对统计量本身的单变量处理,对实际过程的监控提供了方向。
This paper includes the architecture diagram and important flowcharts of the system , discus ses in depth the generation and utilization of conditional rules , and presents the design of important modules which perform the packet - sniffing , muti - variant statistics and association detecting . some key data structures are listed , with description of important functions in the implementation 文中给出了该原型系统的总体结构图和重要流程图,较为详细地介绍了条件规则的生成与使用,给出了数据包捕获、多变量统计、关联检测等重要模块的设计,列出了重要的数据结构,并对实现中所使用的主要函数做了说明。
This study uses classification tree to 1 . choose important variables for delivery launder , 2 . rank the importance of variables , and 3 . classify three levels of quantity of launder and examine under what conditions of variables for high level consuming class of laundry by analyzing the multiple response tables to provide a reference of marketing stratagem 本研究利用分类树多变量统计探究技术做:一、筛选影响衣物外洗件数多寡之相关变数,二、排序各个变数的重要性,三、将外洗量之多寡分成三个等级,由分析多变反应交叉表,可以得到每一个等级是在那些变数的那些条件下发生的,以供作洗衣业者对未来行销策略规划参考之依据。