Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Structural diagnosability analysis of dynamic models
Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, The Institute of Technology.
Department of Computer Science, University of Valladolid, Spain.
Linköping University, Department of Electrical Engineering, Computer Engineering. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, The Institute of Technology.
Show others and affiliations
2011 (English)In: Proceedings of the 18th IFAC World Congress, 2011: Structural Diagnosability Analysis of Dynamic Models / [ed] Bittanti, Sergio, Cenedese, Angelo, Zampieri, Sandro, Milano, Italy: Elsevier , 2011, Vol. 18, no PART 1, 4082-4088 p.Conference paper, Published paper (Refereed)
Abstract [en]

This work is focused on structural approaches to studying diagnosability properties given a system model taking into account, both simultaneously or separately, integral and differential causal interpretations for differential constraints. We develop a model characterization and corresponding algorithms, for studying system diagnosability using a structural decomposition that avoids generating the full set of system ARRs. Simultaneous application of integral and differential causal interpretations for differential constraints results in a mixed causality interpretation for the system. The added power of mixed causality is demonstrated using a case study. Finally, we summarize our work and provide a discussion of the advantages of mixed causality over just derivative or just integral causality. © 2011 IFAC.

Place, publisher, year, edition, pages
Milano, Italy: Elsevier , 2011. Vol. 18, no PART 1, 4082-4088 p.
Series
IFAC Proceedings Volumes (IFAC-PapersOnline), ISSN 1474-6670
Keyword [en]
Diagnosability analysis; Dynamic models; Fault diagnosis; Fault isolation; FDI
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-90588DOI: 10.3182/20110828-6-IT-1002.03382OAI: oai:DiVA.org:liu-90588DiVA: diva2:613891
Conference
18th IFAC World Congress, Università Cattolica del Sacro Cuore, Milano, Italy
Available from: 2013-04-03 Created: 2013-04-02 Last updated: 2013-04-03Bibliographically approved

Open Access in DiVA

fulltext(412 kB)500 downloads
File information
File name FULLTEXT01.pdfFile size 412 kBChecksum SHA-512
4375970e9b23121df6d4eecc3d5d3629d6fc6104d58e258c7c3db2a75c4f1ab78d36cfedc3edb6902455c3a2d82dac29c38d8ed43863c424fbde65345332d1dc
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Åslund, JanKrysander, MattiasFrisk, Erik
By organisation
Vehicular SystemsThe Institute of TechnologyComputer Engineering
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 500 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 265 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf