The application of nonlinear dynamic data reconciliation to plant data

Computers and Chemical Engineering

Volumn 22, Issue 12, 1998, Pages 1907-1911

  McBrayer, Karen F ^a   Soderstrom, Tyler A ^a   Edgar, Thomas F ^a   Young, Robert E ^b  

^a The University of Texas at Austin   (United States)

^b EXXONMOBIL UPSTREAM RESEARCH COMPANY   (United States)

Author keywords

Data reconciliation; Nonlinear dynamic data reconciliation; Plant data

Indexed keywords

CHEMICAL PLANTS; COMPUTER SIMULATION; ERROR DETECTION; PARAMETER ESTIMATION;

NONLINEAR DYNAMIC DATA RECONCILIATION; PLANT DATA;

DATA PROCESSING;

NON-LINEAR DYNAMICS; PROCESS CONTROL;

ARTICLE; CHEMICAL ENGINEERING; COMPUTER SIMULATION; DATA ANALYSIS; ENERGY BALANCE; FLOW MEASUREMENT; STEADY STATE;

EID: 0032216377     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0098-1354(98)00224-5     Document Type: Article

References (5)

1. Liebman, M.J. (1991) Reconciliation of process measurements using statistical and nonlinear programming techniques. Ph.D. thesis, The University of Texas at Austin.
2. Liebman, M.J., Edgar, T.F. and Lasdon, L.S. (1992) Efficient data reconciliation and estimation for dynamic processes using nonlinear programming techniques. Comput. Chem. Engng, 16, 963-986.
3. McBrayer, K.F. (1996) Detection and identification of bias in nonlinear dynamic processes. Ph.D. Thesis, The University of Texas at Austin.
4. McBrayer, K.F. and Edgar, T.F. (1995) Detection and estimation of measurement bias in dynamic data reconciliation. In Advanced Control of Chemical Processes (AD-CHEM'94), Kyoto, Japan, 25-27 May 1995, IFAC.
5. Petzold, L.R. (1982) A description of DDASSL: a differential/algebraic system solver. Technical Report SAND82-8637, Sandia National Laboratories.