Related Experiment Videos
Linear mass balance equilibration: a new approach for an old problem.
J Ragot1, D Maquin, M Alhaj-Dibo
1Centre de Recherche en Automatique de Nancy, CNRS UMR 7039, 54516 Vandoeuvre Cedex, France.
ISA Transactions
|February 3, 2005
Summary
This study introduces interval analysis for data reconciliation and mass balance in engineering. It provides interval-form solutions, unlike classical methods that offer single solutions.
Area of Science:
- Control Engineering
- Mineral Engineering
- Chemical Engineering
Background:
- Interval analysis is established in mathematics but underutilized in control engineering.
- Data reconciliation and mass balance equilibration are classical problems in mineral and chemical engineering.
Purpose of the Study:
- To present a novel methodology for data reconciliation and mass balance equilibration using interval analysis.
- To address the limitations of classical approaches by representing measurements as intervals without assuming probability distributions for errors.
Main Methods:
- Utilizing the interval concept to develop a data reconciliation and mass balance equilibration methodology.
- Employing inequality constraints to represent measurements as intervals, accommodating uncertainty without specific error distribution assumptions.
Main Results:
- A set of reconciled data solutions is provided in interval form.
- This approach offers multiple solutions, contrasting with classical methods that yield a single solution.
Conclusions:
- The proposed interval analysis methodology offers a more comprehensive approach to data reconciliation and mass balance.
- It enhances the representation of measurement uncertainty in engineering problems.