Rectification of process measurement data in the presence of gross errors

J. A. Romagnoli, George Stephanopoulos

Research output: Contribution to journalArticle

88 Citations (Scopus)

Abstract

A systematic strategy is developed for the location of the source and the rectification of gross, biased measurement errors in a chemical process. The proposed strategy proceeds in three levels: (a) A structural analysis of the balance equations identifies subsets of balances with measurements which are suspected to possess gross errors. (b) A sequential analysis of the balance equations with suspect measurements further reduces the size of the problem. Statistical criteria are used in this step. (c) Finally, a sequential analysis of the suspect measurements appearing in the reduced set of balances leads to the identification of the source of the gross errors. The proposed strategy: (i) reduces the size of the data reconciliation problem significantly, even for large-scale chemical processes, (ii) is computationally simple and (iii) it conforms with the general process of variable monitoring in a chemical plant. Numerical examples are presented to clarify the elements of the procedure involved and demonstrate their value and effectiveness in dealing with realistic situations.

Original languageEnglish (US)
Pages (from-to)1849-1863
Number of pages15
JournalChemical Engineering Science
Volume36
Issue number11
DOIs
StatePublished - Jan 1 1981
Externally publishedYes

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Chemical plants
Set theory
Measurement errors
Structural analysis
Monitoring

ASJC Scopus subject areas

  • Chemical Engineering(all)

Cite this

Rectification of process measurement data in the presence of gross errors. / Romagnoli, J. A.; Stephanopoulos, George.

In: Chemical Engineering Science, Vol. 36, No. 11, 01.01.1981, p. 1849-1863.

Research output: Contribution to journalArticle

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