Title :
Statistical process and controller performance monitoring. A tutorial on current methods and future directions
Author :
Cinar, Ali ; Undey, Cenk
Author_Institution :
Dept. of Chem. & Environ. Eng., Illinois Inst. of Technol., Chicago, IL, USA
Abstract :
Statistical process control procedures for a single variable such as Shewhart, CUSUM and EWMA charts are summarized. Multivariable statistical process monitoring (SPM) techniques for both continuous and batch processes are presented. SPM methods based on principal components analysis, canonical variate state space models, partial least squares, multiway and multiblock techniques are discussed. Methods for monitoring single loop and multivariable controller performance are also presented
Keywords :
multivariable control systems; principal component analysis; process monitoring; quality control; state-space methods; statistical process control; batch processes; continuous processes; multiblock techniques; multivariable control; multiway techniques; partial least squares; performance monitoring; principal components analysis; state space models; statistical process control; Chemical technology; Control charts; Control systems; Least squares methods; Monitoring; Process control; Scanning probe microscopy; State-space methods; Tutorial; Velocity measurement;
Conference_Titel :
American Control Conference, 1999. Proceedings of the 1999
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4990-3
DOI :
10.1109/ACC.1999.786544
