Author/Authors
U. Kruger، نويسنده , , Y. Zhou and G.W. Irwin، نويسنده ,
DocumentNumber
1384624
Title Of Article
Improved principal component monitoring of large-scale processes
شماره ركورد
11525
Latin Abstract
In this work, the integration of ARMA filters into the multivariate statistical process control (MSPC) framework is presented to
improve the monitoring of large-scale industrial processes. As demonstrated in the paper, such filters can remove auto-correlation
from the monitored variables to avoid the production of false alarms. This is exemplified by application studies to a synthetic
example from the literature and to the Tennessee Eastman benchmark process.
From Page
879
NaturalLanguageKeyword
ARMA filters , Auto-correlated process variables , multivariate statistical process control
JournalTitle
Studia Iranica
To Page
888
To Page
888
Link To Document