Active fault diagnosis based on stochastic tests

Niels Kjølstad Poulsen, Hans Henrik Niemann

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    The focus of this paper is on stochastic change detection applied in connection with active fault diagnosis (AFD). An auxiliary input signal is applied in AFD. This signal injection in the system will in general allow us to obtain a fast change detection/isolation by considering the output or an error output from the system. The classical cumulative sum (CUSUM) test will be modified with respect to the AFD approach applied. The CUSUM method will be altered such that it will be able to detect a change in the signature from the auxiliary input signal in an (error) output signal. It will be shown how it is possible to apply both the gain and the phase change of the output signal in CUSUM tests. The method is demonstrated using an example.
    Original languageEnglish
    JournalInternational Journal of Applied Mathematics and Computer Science
    Volume18
    Issue number4
    Pages (from-to)487-496
    ISSN1641-876X
    DOIs
    Publication statusPublished - 2008

    Keywords

    • active fault diagnosis
    • parametric faults
    • closed-loop systems
    • stochastic change detection
    • parameterization

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