Information Based Fault Diagnosis

Hans Henrik Niemann, Niels Kjølstad Poulsen

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    Fault detection and isolation, (FDI) of parametric faults in dynamic systems will be considered in this paper. An active fault diagnosis (AFD) approach is applied. The fault diagnosis will be investigated with respect to different information levels from the external inputs to the systems. These inputs are disturbance inputs, reference inputs and auxilary inputs. The diagnosis of the system is derived by an evaluation of the signature from the inputs in the residual outputs. The changes of the signatures form the external inputs are used for detection and isolation of the parametric faults.
    Original languageEnglish
    Title of host publicationProceedings of the 17th World Congress
    Publication date2008
    Pages8890-8895
    Publication statusPublished - 2008
    Event17th World Congress International Federation of Automatic Control - Seoul, Korea, Republic of
    Duration: 6 Jul 200811 Jul 2008
    Conference number: 17

    Conference

    Conference17th World Congress International Federation of Automatic Control
    Number17
    Country/TerritoryKorea, Republic of
    CitySeoul
    Period06/07/200811/07/2008

    Keywords

    • Active fault diagnosis

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