Performance studies of the measurement test for detection of gross errors in process data

C. Iordache, R. S.H. Mah*, A. C. Tamhane

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

62 Scopus citations

Abstract

The measurement test proposed by Mah and Tamhane (1982) allows the gross error associated with a measurement to be directly identified without a separate procedure. In this paper a comprehensive evaluation of this test was carried out based on two different definitions of its power. The influence of constraints, network configuration, position of measurement, magnitudes of gross error and standard deviations, number of measurements, and other factors were summarized as rules and guidelines for the application of this test. The simulation procedure developed in this investigation may be used to design a gross error detection scheme for any specific application.

Original languageEnglish (US)
Pages (from-to)1187-1201
Number of pages15
JournalAIChE Journal
Volume31
Issue number7
DOIs
StatePublished - Jul 1985

ASJC Scopus subject areas

  • Biotechnology
  • Environmental Engineering
  • Chemical Engineering(all)

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