Reconstruction-based contribution for process monitoring

Carlos F. ALCALA, S. Joe QIN*

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

490 Citations (Scopus)

Abstract

This paper presents a new method to perform fault diagnosis for data-correlation based process monitoring. As an alternative to the traditional contribution plot method, a reconstruction-based contribution for fault diagnosis is proposed based on monitored indices, SPE, T2 and a combined index φ. Analysis of the diagnosability of the traditional contributions and the reconstruction-based contributions is performed. The lack of diagnosability of traditional contributions is analyzed for the case of single sensor faults with large fault magnitudes, whereas for the same case the proposed reconstruction-based contributions guarantee correct diagnosis. Monte Carlo simulation results are provided for the case of modest fault magnitudes by randomly assigning fault sensors and fault magnitudes. © 2009 Elsevier Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)1593-1600
Number of pages8
JournalAutomatica
Volume45
Issue number7
Early online date10 Apr 2009
DOIs
Publication statusPublished - Jul 2009
Externally publishedYes

Bibliographical note

Financial support for this project from the Roberto Rocca Education Program, National Science Foundation (DMI-0432433), members of the Texas–Wisconsin–California Control Consortium, and the Chang-Jiang Professor Foundation at the Ministry of Education of China is gratefully acknowledged.

Keywords

  • Contribution analysis
  • Diagnosability
  • Fault diagnosis
  • Process monitoring
  • Reconstruction

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