Reconstruction-based Contribution for Process Monitoring

Carlos ALCALA, S. Joe QIN

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

18 Citations (Scopus)

Abstract

This paper presents a new method to perform fault diagnosis for data-correlation based process monitoring. As alternative to the traditional contribution plot method, reconstruction-based contribution of fault detection indices is proposed. The monitored indices are SPE, T2 and a combined index φ. 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. Copyright © 2007 International Federation of Automatic Control All Rights Reserved.
Original languageEnglish
Pages (from-to)7889-7894
Number of pages6
JournalIFAC Proceedings Volumes
Volume41
Issue number2
DOIs
Publication statusPublished - Jul 2008
Externally publishedYes
Event17th World Congress, The International Federation of Automatic Control, IFAC 2008 - Seoul, Korea, Republic of
Duration: 6 Jul 200811 Jul 2008

Bibliographical note

ISBN: 9783902661005

Keywords

  • process monitoring
  • fault diagnosis
  • reconstruction
  • contribution analysis
  • diagnosability

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