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Sequential Residual Generator Selection for Fault Detection
Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, The Institute of Technology.
2014 (English)In: 2014 EUROPEAN CONTROL CONFERENCE (ECC), IEEE , 2014, 932-937 p.Conference paper, Published paper (Refereed)
Abstract [en]

Structural methods in model-based fault diagnosis applications are simple and efficient tools for finding candidates for residual generation. However, the structural methods do not take model uncertainties and information about fault behavior into consideration. This may result in selecting residual generators with bad performance to be included in the diagnosis system. By using the Kullback-Leibler divergence, the performance of different residual generators can be compared to find the best one. With the ability to quantify diagnostic performance, the design of residual generators can be optimized by, for example, combining several residual generators such that the diagnostic performance is maximized. The proposed method for residual generation selection is applied to a water tank system to show that the achieved residual performance is improved compared to only use a structural method.

Place, publisher, year, edition, pages
IEEE , 2014. 932-937 p.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-116847DOI: 10.1109/ECC.2014.6862195ISI: 000349955701039ISBN: 978-3-9524269-1-3 (print)OAI: oai:DiVA.org:liu-116847DiVA: diva2:800587
Conference
13th European Control Conference (ECC)
Available from: 2015-04-07 Created: 2015-04-07 Last updated: 2015-04-07

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Sundström, Christofer

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  • apa
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf