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Consensus based fault detection and isolation for systems of systems
KTH, School of Electrical Engineering (EES), Automatic Control.
2010 (English)In: 2010 World Automation Congress, WAC 2010, 2010, 1-6 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper a new algorithm is proposed for distributed fault detection and isolation (FDI), applicable to systems of systems. The algorithm is composed of two stages. The first stage is proposed in the form of a consensus based network of interconnected optimal stochastic FDI observers connected to the constituent systems. At this stage residuals are generated, which provide high efficiency, scalability and robustness under general conditions concerning locally available models and the topology of the overall system. The second stage is aimed at fault detection based on the generated residuals. A new distributed detection algorithm based on consensus is proposed, enabling overall decision at the constituent system level, without fusion center. Simulation results illustrate the efficiency of the proposed algorithm.

Place, publisher, year, edition, pages
2010. 1-6 p.
Keyword [en]
Distributed detection, Fault detection and isolation, Fusion center, High efficiency, Simulation result, System levels, Systems of systems, Two stage, Algorithms, Systems engineering, Fault detection
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-150024Scopus ID: 2-s2.0-78651426979ISBN: 978-142449673-0 (print)OAI: oai:DiVA.org:kth-150024DiVA: diva2:742284
Conference
2010 World Automation Congress, WAC 2010, 19 September 2010 through 23 September 2010, Kobe, Japan
Note

QC 20140901

Available from: 2014-09-01 Created: 2014-08-29 Last updated: 2014-09-01Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • vancouver
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Language
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  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf