基于数据差异的多变量统计过程控制

研究数据差异（DISSIM）方法在多变量统计过程控制中的应用.为检测过程数据分布变化来监视操作条件变化,并且定量地评价两组数据之间的差异,DISSIM方法定义一种差异指标D.计算D时运用时间窗口,时间窗口对指标D具有平滑作用,与MSPC的统计指标T2或Q相比,D变化平稳.针对多变量自回归过程和TE过程,分别应用MSPC和DISSIM两种方法做仿真试验.仿真结果表明：与MSPC相比,适当选择时间窗口时,DISSIM善于检测过程中小的、缓慢的变化,而且能够检测操作条件的变化,明显改善了监视性能.

Multivariate Statistical Process Control Based on Dissimilarity of Process Data

This paper studies the application of DISSIM method in multivariate statistics process control.In order to detect a change of operating condition by monitoring a distribution of process data and quantitatively evaluate the difference between two data sets,a dissimilarity index is introduced.A time window is used when the index D is computed.The time window has a smoothing effect.Compared with T~2 or Q,the variation of D is smooth.This paper applies MSPC and DISSIM to simulate for multivariate AR process and TE process.Simulations results demonstrate: Compared with MSPC,DISSIM is good at detecting small and slow changes when a time-window size is appropriately selected.In addition,DISSIM can detect a change of operating condition,so it improves the monitoring performance evidently.