Author/Authors
R.J. Treasure، نويسنده , , U. Kruger and J.E. Cooper، نويسنده ,
DocumentNumber
1384578
Title Of Article
Dynamic multivariate statistical process control using subspace identification
شماره ركورد
11480
Latin Abstract
In this article, the monitoring of continuous processes using linear dynamic models is presented. It is outlined that dynamic
extensions to conventional multivariate statistical process control (MSPC) models may lead to the inclusion of large numbers of
variables in the condition monitor. To prevent this, a new dynamic monitoring scheme, based on subspace identification, is introduced,
which can (1) determine a set of state variables for describing process dynamics, (2) produce a reduced set of variables to
monitor process performance and (3) offer contribution charts to diagnose anomalous behaviour. This is demonstrated by an
application study to a realistic simulation of a chemical process.
From Page
279
NaturalLanguageKeyword
multivariate statistical process control , Subspace identification , Fault detection
JournalTitle
Studia Iranica
To Page
292
To Page
292
Link To Document