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Quantitative Fault Diagnosability Performance of Linear Dynamic Descriptor Models
Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-0808-052X
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.
2011 (English)Conference paper, Published paper (Refereed)
Abstract [en]

A theory is developed for quantifying fault detectability and fault isolability properties of time discrete linear dynamic models. Based on the model, a stochastic characterization of system behavior in different fault modes is defined and a general measure, called distinguishability, based on the Kullback-Leibler information, is used to quantify the difference between the modes. An analysis of distinguishability as a function of the number of observations is discussed. This measure is also shown to be closely related to the fault to noise ratios in residual generators. Further, the distinguishability of the model is shown to give upper limits of the fault to noise ratios of residual generators.

Place, publisher, year, edition, pages
2011.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-137789OAI: oai:DiVA.org:liu-137789DiVA: diva2:1102626
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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Eriksson, DanielKrysander, MattiasFrisk, Erik
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