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Analysis and Design of Diagnosis Systems Based on the Structural Differential Index
Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-7349-1937
Linköping University, Department of Electrical Engineering, Computer Engineering. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-4965-1077
Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, Faculty of Science & Engineering.
2017 (English)In: 20th IFAC World Congress, ELSEVIER SCIENCE BV , 2017, Vol. 50, no 1, p. 12236-12242Conference paper, Published paper (Refereed)
Abstract [en]

Structural approaches have shown to be useful for analyzing and designing diagnosis systems for industrial systems. In simulation and estimation literature, related theories about differential index have been developed and, also there, structural methods have been successfully applied for simulating large-scale differential algebraic models. A main contribution of this paper is to connect those theories and thus making the tools from simulation and estimation literature available for model based diagnosis design. A key step in the unification is an extension of the notion of differential index of exactly determined systems of equations to overdetermined systems of equations. A second main contribution is how differential-index can be used in diagnosability analysis and also in the design stage where an exponentially sized search space is significantly reduced. This allows focusing on residual generators where basic design techniques, such as standard state-observation techniques and sequential residual generation are directly applicable. The developed theory has a direct industrial relevance, which is illustrated with discussions on an automotive engine example. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE BV , 2017. Vol. 50, no 1, p. 12236-12242
Series
IFAC PAPERSONLINE, ISSN 2405-8963
Keywords [en]
Fault diagnosis; differential algebraic equations; differential index; structural method; residual generation; fault diagnosability
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-145495DOI: 10.1016/j.ifacol.2017.08.2129ISI: 000423965200040OAI: oai:DiVA.org:liu-145495DiVA, id: diva2:1187160
Conference
20th World Congress of the International-Federation-of-Automatic-Control (IFAC)
Available from: 2018-03-02 Created: 2018-03-02 Last updated: 2021-12-28

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Frisk, ErikKrysander, MattiasÅslund, Jan
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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Output format
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