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

Volume

4

fYear

1999

fDate

1999

Firstpage

2625

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;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 1999. Proceedings of the 1999

Conference_Location

San Diego, CA

ISSN

0743-1619

Print_ISBN

0-7803-4990-3

Type

conf

DOI

10.1109/ACC.1999.786544

Filename

786544