Fault propagation analysis of oscillations in control loops using data-driven causality and plant connectivity

Rinat Landman, Jukka Kortela, Qiang Sun, Sirkka-Liisa Jämsä-Jounela

Research output: Contribution to journalArticleScientificpeer-review

25 Citations (Scopus)
115 Downloads (Pure)

Abstract

Oscillations in control loops are one of the most prevalent problems in industrial processes. Due to their adverse effect on the overall process performance, finding how oscillations propagate through the process units is of major importance. This paper presents a method for integrating process causality and topology which ultimately enables to determine the propagation path of oscillations in control loops.The integration is performed using a dedicated search algorithm which validates the quantitative results of the data-driven causality using the qualitative information on plant connectivity. The outcome is an enhanced causal model which reveals the propagation path. The analysis is demonstrated on a case study of an industrial paperboard machine with multiple oscillations in its drying section due to valve stiction.
Original languageEnglish
Pages (from-to)446-456
JournalComputers and Chemical Engineering
Volume71
DOIs
Publication statusPublished - 2014
MoE publication typeA1 Journal article-refereed

Keywords

  • Causal analysis Fault propagation Control loops Paper machine Connectivity information Industrial application
  • Fault propagation
  • Control loops
  • Paper machine
  • Connectivity information
  • industrial application

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