Data validation in large scale steady state linear systems
Résumé
The problem of data validation in large scale steady state linear systems is addressed. The system is described by algebraic equations. The conditions for observability and redundancy are defined and a procedure is presented for classifying the system variables into observable, unobservable, redundant and no redundant variables. Reconciliation of the redundant process measurements is developed using a recurrent estimation technique which is well suited in real time data processing. An application of the method to material balances is presented.
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