| 1. | Multivariable statistical process control ( mspc ) is a modeling method only depending on the process past data for this purpose
多变量统计建模方法是一种不依赖于过程机理的建模方法，其唯一需要的信息是过去成功生产过程数据的集合。 |
| 2. | 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，根据第一个设想所做的一些研究成果已经作为论文在2002年度的国际学术会议comadem上发表，并得到国际同行一定程度的认可。 |
| 3. | 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 、分别以农药原料亚磷酸二甲酯生产过程和间歇冷凝结晶生产过程为应用背景，介绍了多变量统计过程控制在连续过程和间歇过程中的应用。 |
| 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
随着生产过程系统自动化程度的提高和工业现场计算机设备存储容量的增加，采集和存储大量过程变量和产品质量数据已为多变量统计控制的应用奠定了基础。 |
| 5. | 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
本文的研究正是着眼于克服这两大假设条件，使过程监控技术能更好地适用于实际工业生产过程而进行的。 |
| 6. | 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 、介绍了几种用于多变量统计过程控制的数学工具，包括主元分析及多向主元分析、主元回归、部分最小二乘等方法。 |
| 7. | 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
对于间歇冷凝结晶生产过程，以其仿真程序为数据来源，应用滑动窗口多向主元分析方法进行统计过程控制，说明该方法在间歇过程的监控和诊断中的作用和特点。 |
| 8. | 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
基于多元统计过程控制方法中的主元分析法，偏最小二乘法和核函数分析法这三种技术，本课题主要研究了以下内容： 1 )用面向对象的方法开发多元统计过程控制状态监测应用系统。 |
| 9. | 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 、介绍了单变量统计过程控制方法及其所固有的局限性，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，为对实际生产过程的监控提供了方向。 |
| 10. | 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
统计过程控制包括单变量统计方法和多元统计方法。传统的单变量统计过程控制技术的局限性在于仅注意监视某一时刻的一个质量变量或关键过程变量，不适合分析变量间存在相关特性的多变量过程数据。 |
