however, the common problem that still exits in these techniques is how to discriminate the variables that are really being out of control when the multivariate control charts are signaling 这些多元质量控制技术存在的共同问题是:一旦发现失控信号,由于相关性,很难判断哪个/哪些变量出现问题。
3 . discussing application of entropy in multivariate control chart, firstly, testing whether the correlation structure has changed by means of the mutual information approach . secondly, using approximately approach to discuss two estimators of conditional entropy . finally, establishing corresponding entropy chart 讨论了熵在多变量控制图中的应用,首先利用相互信息量的方法检测相关阵是否变化,然后利用近似的方法讨论了两种条件熵的估计量,建立了相应的熵图。
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。
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。