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Data reconciliation and parameter estimation in flux-balance analysis
(JOHN WILEY & SONS INC, 2003)
Flux balance analysis (FBA) has been shown to be a very effective tool to interpret and predict the metabolism of various microorganisms when the set of available measurements is not sufficient to determine the fluxes ...
Classification of Systematic Measurement Errors within the Framework of Robust Data Reconciliation
(American Chemical Society, 2017-07)
A robust data reconciliation strategy provides unbiased variable estimates in the presence of a moderate quantity of atypical measurements. However, estimates get worse if systematic measurement errors that persist in time ...
New objective function for data reconciliation in water balance from industrial processes
(Elsevier, 2010-03-27)
Robust Estimators for Data Reconciliation
(American Chemical Society, 2015-04-07)
In this work, a comparative performance analysis of robust data reconciliation strategies is presented. The study involves two procedures based on the biweight function and three estimation techniques that use the Welsh, ...
New objective function for data reconciliation in water balance from industrial processes
(Elsevier, 2010)
The promotion of a better rational use of water in industry requires an adequate knowledge of aqueous streams inside industrial plants. The main difficulty found in this respect is a lack of accurate measurement of such ...
Smart enterprise for pulp & paper mills: Data processing and reconciliation
(Elsevier, 2002-05)
An ad-hoc data reconciliation procedure developed for the recausticizing section of a new pulp and paper industry is presented in this work. A comprehensive model was formulated to take into account different unit operation ...
What if multiusers wish to reconcile their data?
(Institute for Systems and Technologies of Information, Control and Communication - INSTICCScience and Technology Press – SciTePressBarcelona, 2015-04)
Reconciliation is the process of providing a consistent view of the data imported from different sources. Despite some efforts reported in the literature for providing data reconciliation solutions with asynchronous ...
Use of orthogonal transformations in data classification-reconciliation
(Pergamon-Elsevier Science Ltd, 1996)
On-line process monitoring using a robust statistics based methodology
(Planta Piloto de Ingeniería Química, 2019-08)
Robust Data Reconciliation strategies provide unbiasedvariable estimates in the presence of a moderate quantity of measurement grosserrors. Systematic errors which persist in time, as biases or drifts, overcome thisquantity ...