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Structural Analysis utilizing MSS Sets with Application to a Paper Plant
Linköping University, Department of Electrical Engineering, Vehicular Systems.
Linköping University, Department of Electrical Engineering, Vehicular Systems.
2002 (English)Conference paper (Refereed)
Abstract [en]

When designing model-based fault-diagnosis systems, the use of consistency relations (also called e.g. parity relations) is a common choice. Different subsets are sensitive to different subsets of faults, and thereby isolation can be achieved. This paper presents an algorithm for finding a small set of submodels that can be used to derive consistency relations with highest possible diagnosis capability. The algorithm handles differential-algebraic models and is based on graph theoretical reasoning about the structure of the model. An important step, towards finding these submodels and therefore also towards finding consistency relations, is to find all minimal structurally singular (MSS) sets of equations. These sets characterize the fault diagnosability. The algorithm is applied to a large nonlinear industrial example, a part of a paper plant. In spite of the complexity of this process, a small set of consistency relations with high diagnosis capability is successfully derived.

Place, publisher, year, edition, pages
2002.
Series
Proc. of the Thirteenth International Workshop on Principles of Diagnosis
Keyword [en]
Structural Methods, Diagnosis
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-138372OAI: oai:DiVA.org:liu-138372DiVA: diva2:1109451
Conference
Proc. of the Thirteenth International Workshop on Principles of Diagnosis
Available from: 2017-06-14 Created: 2017-06-14 Last updated: 2017-06-14

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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Language
  • de-DE
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Output format
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