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Residual Generators for Fault Diagnosis using Computation Sequences with Mixed Causality Applied to Automotive Systems
Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, Faculty of Science & Engineering.
2010 (English)In: IEEE transactions on systems, man and cybernetics. Part A. Systems and humans, ISSN 1083-4427, E-ISSN 1558-2426, Vol. 40, no 6, 1310-1328 p.Article in journal (Refereed) Published
Abstract [en]

An essential step in the design of a model-based diagnosis system is to find a set of residual generators fulfilling stated fault detection and isolation requirements. To be able to find a good set, it is desirable that the method used for residual generation gives as many candidate residual generators as possible, given a model. This paper presents a novel residual generation method that enables simultaneous use of integral and derivative causality, i.e. mixed causality, and also handles equation sets corresponding to algebraic and differential loops in a systematic manner. The method relies on a formal framework for computing unknown variables according to a computation sequence. In this framework, mixed causality is utilized and the analytical properties of the equations in the model, as well as the available tools for algebraic equation solving, are taken into account. The proposed method is applied to two models of automotive systems, a Scania diesel engine and a hydraulic braking system. Significantly more residual generators are found with the proposed method in comparison with methods using solely integral or derivative causality.

Place, publisher, year, edition, pages
2010. Vol. 40, no 6, 1310-1328 p.
Keyword [en]
Applications, Diagnosis
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-137242DOI: 10.1109/TSMCA.2010.2049993OAI: oai:DiVA.org:liu-137242DiVA: diva2:1094294
Available from: 2017-05-09 Created: 2017-05-09 Last updated: 2017-05-18Bibliographically approved

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Svärd, CarlNyberg, Mattias
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Electrical Engineering, Electronic Engineering, Information Engineering

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CiteExportLink to record
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Citation style
  • apa
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  • modern-language-association-8th-edition
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  • Other style
More styles
Language
  • de-DE
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  • nn-NB
  • sv-SE
  • Other locale
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