Análise de técnicas de reconciliação de dados aplicadas a um sistema aquecedor de tanque agitado

Felipe Santana Santos; Leocarlos Bezerra da Silva Lima

doi:10.5433/1679-0375.2015v36n1p97

Analysis of Data reconciliation techniques applied to a continuous stirred tank heater

Authors

Felipe Santana Santos Universidade Federal de Sergipe
Leocarlos Bezerra da Silva Lima Universidade Federal de Sergipe - UFS Departamento de Engenharia Elétrica - DEL

DOI:

https://doi.org/10.5433/1679-0375.2015v36n1p97

Keywords:

Random errors, Data reconciliation, Continuous stirred tank heater

Abstract

The measurement of variables from an industrial process is of great importance in systems in which decisions are made based on these measurements, as in control systems. However, these measurements are always accompanied by errors, random or gross. This is not different in the process of water heating. An alternative for a greater reliability of the variables is the use of data reconciliation (DR). DR arises from the development of techniques for measurement and data storage. Its role is to ensure the consistency of data using the redundancy of the measurements and a statistical model of the measurements to increase its accuracy. This work investigates techniques for data reconciliation and its use in reducing the errors observed in measurements on a continuous stirred tank heater.

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Author Biographies

Felipe Santana Santos, Universidade Federal de Sergipe

Graduando em Engenharia Elétrica na Universidade Federal de Sergipe.

Leocarlos Bezerra da Silva Lima, Universidade Federal de Sergipe - UFS Departamento de Engenharia Elétrica - DEL

Professor do Departamento de Engenharia Elétrica - DEL da Universidade Federal de Sergipe - UFS desde 2005. Docente permanente do Programa de Pós-Graduação em Engenharia Elétrica - PROEE da UFS.

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Published

2015-05-20

How to Cite

Santos, F. S., & Lima, L. B. da S. (2015). Analysis of Data reconciliation techniques applied to a continuous stirred tank heater. Semina: Ciências Exatas E Tecnológicas, 36(1), 97–106. https://doi.org/10.5433/1679-0375.2015v36n1p97

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Issue

Vol. 36 No. 1 (2015)

Section

Original Article

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