Robust fault diagnosis by optimal input design for self-sensing systems

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This paper presents a methodology for model based robust fault diagnosis and a methodology for input design to obtain optimal diagnosis of faults. The proposed algorithm is suitable for real time implementation. Issues of robustness are addressed for the input design and fault diagnosis methodologies. The proposed technique allows robust fault diagnosis under suitable conditions on the system uncertainty. The designed input and fault diagnosis techniques are illustrated by numerical simulation.

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Failure analysis
Computer simulation

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    @article{5e41431568744e7f9c2d85730b274c30,
    title = "Robust fault diagnosis by optimal input design for self-sensing systems",
    abstract = "This paper presents a methodology for model based robust fault diagnosis and a methodology for input design to obtain optimal diagnosis of faults. The proposed algorithm is suitable for real time implementation. Issues of robustness are addressed for the input design and fault diagnosis methodologies. The proposed technique allows robust fault diagnosis under suitable conditions on the system uncertainty. The designed input and fault diagnosis techniques are illustrated by numerical simulation.",
    keywords = "Active fault diagnosis, FDI for linear systems, Structural analysis, Residual evaluation methods",
    author = "D. Khandelwal and S. Weiland and A. Khalate",
    year = "2017",
    doi = "10.1016/j.ifacol.2017.08.213",
    language = "English",
    volume = "50",
    pages = "1031--1036",
    journal = "IFAC-PapersOnLine",
    issn = "2405-8963",
    publisher = "Elsevier",
    number = "1",

    }

    Robust fault diagnosis by optimal input design for self-sensing systems. / Khandelwal, D.; Weiland, S.; Khalate, A.

    In: IFAC-PapersOnLine, Vol. 50, Nr. 1, 2017, blz. 1031-1036.

    Onderzoeksoutput: Bijdrage aan tijdschriftCongresartikelAcademicpeer review

    TY - JOUR

    T1 - Robust fault diagnosis by optimal input design for self-sensing systems

    AU - Khandelwal,D.

    AU - Weiland,S.

    AU - Khalate,A.

    PY - 2017

    Y1 - 2017

    N2 - This paper presents a methodology for model based robust fault diagnosis and a methodology for input design to obtain optimal diagnosis of faults. The proposed algorithm is suitable for real time implementation. Issues of robustness are addressed for the input design and fault diagnosis methodologies. The proposed technique allows robust fault diagnosis under suitable conditions on the system uncertainty. The designed input and fault diagnosis techniques are illustrated by numerical simulation.

    AB - This paper presents a methodology for model based robust fault diagnosis and a methodology for input design to obtain optimal diagnosis of faults. The proposed algorithm is suitable for real time implementation. Issues of robustness are addressed for the input design and fault diagnosis methodologies. The proposed technique allows robust fault diagnosis under suitable conditions on the system uncertainty. The designed input and fault diagnosis techniques are illustrated by numerical simulation.

    KW - Active fault diagnosis

    KW - FDI for linear systems

    KW - Structural analysis

    KW - Residual evaluation methods

    U2 - 10.1016/j.ifacol.2017.08.213

    DO - 10.1016/j.ifacol.2017.08.213

    M3 - Conference article

    VL - 50

    SP - 1031

    EP - 1036

    JO - IFAC-PapersOnLine

    T2 - IFAC-PapersOnLine

    JF - IFAC-PapersOnLine

    SN - 2405-8963

    IS - 1

    ER -