DocumentCode
3408467
Title
Multivariate statistical process control with dynamic external analysis
Author
Kano, M. ; Maruta, H. ; Tanaka, S. ; Hasebe, S. ; Hashimoto, I. ; Ohno, H.
Author_Institution
Kyoto Univ., Japan
Volume
5
fYear
2002
fDate
5-7 Aug. 2002
Firstpage
3081
Abstract
The practicability of statistical process control (SPC) is limited due to the assumption that a process is operated in a steady state. In this paper, external analysis is proposed to cope with changes in operating conditions such as load changes and grade transitions. The effectiveness of SPC methods integrated with the proposed external analysis was confirmed by application results.
Keywords
independent component analysis; principal component analysis; statistical process control; dynamic external analysis; independent component analysis; multivariate statistical process control; principal component analysis; Chemical processes; Control charts; Control systems; Independent component analysis; MIMO; Monitoring; Principal component analysis; Process control; Q measurement; Steady-state;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN
0-7803-7631-5
Type
conf
DOI
10.1109/SICE.2002.1195599
Filename
1195599
Link To Document