Fault propagation analysis by combining data-driven causal analysis and plant connectivity

Rinat Landman, Jukka Kortela, Sirkka Liisa Jämsä-Jounela

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2 Citations (Scopus)

Abstract

This paper presents a novel technique 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 extracted from a piping and instrumentation diagram. 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
Title of host publicationEmerging Technologies and Factory Automation (ETFA) 2014
PublisherIEEE
ISBN (Print)9781479948468
DOIs
Publication statusPublished - 8 Jan 2014
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Emerging Technologies and Factory Automation - Barcelona, Spain
Duration: 16 Sep 201419 Sep 2014
Conference number: 19

Conference

ConferenceIEEE International Conference on Emerging Technologies and Factory Automation
Abbreviated titleETFA
Country/TerritorySpain
CityBarcelona
Period16/09/201419/09/2014

Keywords

  • causal analysis
  • control loops
  • Plant topology

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