The application of nonlinear dynamic data reconciliation to plant data

Citation
Kf. Mcbrayer et al., The application of nonlinear dynamic data reconciliation to plant data, COMPUT CH E, 22(12), 1998, pp. 1907-1911
Citations number
5
Categorie Soggetti
Chemical Engineering
Journal title
COMPUTERS & CHEMICAL ENGINEERING
ISSN journal
00981354 → ACNP
Volume
22
Issue
12
Year of publication
1998
Pages
1907 - 1911
Database
ISI
SICI code
0098-1354(1998)22:12<1907:TAONDD>2.0.ZU;2-2
Abstract
We have extended a fairly comprehensive data reconciliation approach called nonlinear dynamic data reconciliation (NDDR) that was originally presented by Liebman et al. (1994, Comput. Chem. Engng, 16, 963-986). This approach is capable of reconciling data from both steady-state and dynamic processes as well as estimating parameters and unmeasured process variables. One rec ently added feature is the ability to detect measurement bias. Each of thes e features were developed and tested using computer simulation. In this pap er we report the successful application of NDDR to reconcile actual plant d ata from an Exxon Chemicals process. (C) 1998 Elsevier Science Ltd. All rig hts reserved.