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A Greedy Approach for Selection of Residual Generators
Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, The Institute of Technology. Scania CV AB, Södertälje, Sweden.
Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, The Institute of Technology. Scania CV AB, Södertälje, Sweden.
Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, The Institute of Technology.
2011 (English)Conference paper (Refereed)
Abstract [en]

This paper considers the problem of selecting a set of residual generators, fulfilling requirements in terms of fault isolability and minimal cardinality, for inclusion in a model-based FDI-system. Two novel algorithms for solving the selection problem are proposed. The first one provides an exact solution fulfilling both requirements and is suitable for small problems. The second one, which is the main contribution and suitable for large problems, relaxes the minimal cardinality requirement and provides an approximate solution by means of a greedy heuristic. Both algorithms take the realizability properties of the considered residual generation method into account, but are general in the sense that they support any computerized residual generation method. In a case study the greedy algorithm is applied to the problem of finding a suitable set of residual generators for detection and isolation of faults in a complex truck diesel engine system. In this study a prior known sequential residual generation method is considered.

Place, publisher, year, edition, pages
2011.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-137790OAI: oai:DiVA.org:liu-137790DiVA: diva2:1102627
Conference
22nd International Workshop on Principles of Diagnosis (DX-11). Murnau, Germany
Available from: 2017-05-29 Created: 2017-05-29 Last updated: 2017-06-09Bibliographically approved

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Svärd, CarlNyberg, MattiasFrisk, Erik
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  • apa
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