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 :
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