| 1. | Multi - dimension data is transformed to the analysis of statistical variables as t2 statistic , q statistic and statistical control charts . 3
? 3 、介绍了基于子空间的状态空间系统辨识概念、原理和优点。 |
| 2. | From abnormal network flow view , first , we can define some statistical variables and use those variables to make a model , timely get data from network . then anids make full use of data in information lib to detect current network flow whether anomaly or not
若发现当前数据包异常，则进行报警。在异常网络流量检测方面，首先确立测度集和建立模型，从网络中实时捕获样本值。其次，根据信息库中保存的信息，对当前流量进行检测。 |
| 3. | 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。 |
| 4. | 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。 |
| 5. | Summarizes the design and develop ways of monitoring and fault diagnosis systems based on pca for multivariable control system . introduces the main statistical variables , multivariate control charts and the analysis ways of statistical variables . then this paper takes a model of continuous process for example , to show and analysis the result of fault diagnosis based on pca
概述和总结了基于主元分析的多变量控制系统故障监测与诊断系统设计思想，分析了主要统计量、控制图以及数据基本分析处理方法，并以一个连续生产过程模型为例，阐述了故障诊断模型的建立过程以及诊断结果分析。 |
| 6. | The main statistical variables and multivariate control charts are introduced . the design idea of fault monitoring and fault diagnosis systems based on principal component analysis for multivariable control system is analyzed . a model of pta oxidation process is talcen as an example to show the result of fault diagnosis based on principal component analysis
介绍了多元统计过程控制在故障诊断中常用的统计量及统计控制图，分析了基于主元分析的多变量控制系统故障监测与诊断的设计思想，并将其应用于pta氧化过程仿真监控。 |
