A PDE-Based Data Reconciliation Approach for Systems with Variations of Parameters

  • Siwaporn Duangsri Mahidol University
  • Soorathep Kheawhom Chulalongkorn University
  • Pornchai Bumroongsri Mahidol University

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Abstract

Data reconciliation is a mathematical approach that improves the quality of measurements by calculating the reconciled data that satisfies the process constraints. The conventional data reconciliation approach relies on the process model that contains the constant parameters. In the industrial applications, however, there are always possible variations of parameters within the system. In this paper, a new data reconciliation approach based on the partial differential equation (PDE) is developed. The proposed data reconciliation approach is experimentally applied to a case study of temperature measurements for a refinery process. The PDE-based model is employed in the formulation of the optimization problem. Unlike the conventional data reconciliation approach in which the system is assumed to be lumped, the PDE-based data reconciliation approach includes in the problem formulation the variations of parameters within the system in order to describe the real system’s behaviour. The reconciled values can be computed within the computational domain so they can be used as the data for troubleshooting, equipment analysis and maintenance.

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Author Biographies
Siwaporn Duangsri

Department of Chemical Engineering, Faculty of Engineering, Mahidol University

Soorathep Kheawhom

Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University

Pornchai Bumroongsri

Department of Chemical Engineering, Faculty of Engineering, Mahidol University

Published
Vol 23 No 4, Aug 8, 2019
How to Cite
S. Duangsri, S. Kheawhom, and P. Bumroongsri, “A PDE-Based Data Reconciliation Approach for Systems with Variations of Parameters”, Eng. J., vol. 23, no. 4, pp. 157-169, Aug. 2019.

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