<b>Evaluation of robust functions for data reconciliation in thermal systems

Autores

  • Regina Luana Santos de França Universidade Federal de Sergipe
  • Antonio Martins Oliveira Júnior Universidade Federal de Sergipe
  • Domingos Fabiano Santana Souza Universidade Federal do Rio Grande do Norte

DOI:

https://doi.org/10.4025/actascitechnol.v38i2.28188

Palavras-chave:

set measures, robustness, efficiency, nonlinear systems.

Resumo

Process variables regularly control and evaluate industrial processes. Information with gross errors may in some cases not be attenuated by function reconciliation and change the calculation of process balance, leading optimization results towards non-feasible regions or to optimal sites. A promising alternative for reconciling functions is the use of robust functions. Current paper considers the above scenario and evaluates the fitness of some robust functions in solving in steady state chemical processes data reconciliation problems represented by linear and nonlinear systems in the presence of gross errors. Traditional Cauchy, Fair, Contaminated Normal and Logistic robust functions are used in the reconciliation problem where their estimates are compared to those obtained with the use of the latest features, such as New Target and Alarm. Rates for gross errors in tests were limited between 4 and 10σ of the measured current and elaborated a region of outliers. Results showed that New Target and Alarm functions are different from the others as the magnitude of the gross error increases, tending towards true rates specified by set point.

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Biografia do Autor

Regina Luana Santos de França, Universidade Federal de Sergipe

Universidade Federal de Sergipe
Mestre pelo Programa de Pós-Graduação em Engenharia Quí­mica da UFS

Doutoranda em Engenharia de Processos pela UNIT

Antonio Martins Oliveira Júnior, Universidade Federal de Sergipe

Professor do Departamento de Tecnologia de Alimentos, Doutorado em Engenharia Quí­mica na COPPE/UFRJ

Domingos Fabiano Santana Souza, Universidade Federal do Rio Grande do Norte

Universidade Federal de Sergipe - Programa de Pós-Graduação em Engenharia Quí­mica
Universidade Federal do Rio Grande do Norte - Departamento de Engenharia Quí­mica

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Publicado

2016-04-01

Como Citar

França, R. L. S. de, Oliveira Júnior, A. M., & Souza, D. F. S. (2016). <b>Evaluation of robust functions for data reconciliation in thermal systems. Acta Scientiarum. Technology, 38(2), 185–191. https://doi.org/10.4025/actascitechnol.v38i2.28188

Edição

Seção

Engenharia Quí­mica

 

0.8
2019CiteScore
 
 
36th percentile
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0.8
2019CiteScore
 
 
36th percentile
Powered by  Scopus