Active Fault Detection and Isolation for Hybrid Systems

Mehdi Gholami, Henrik Schiøler, Thomas Bak, Seyed Mojtaba Tabatabaeipour

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Resumé

An algorithm for active fault detection and isolation is proposed. In order to observe the failure hidden due to the normal operation of the controllers or the systems, an optimization problem based on minimization of test signal is used. The optimization based method imposes the normal and faulty models predicted outputs such that their discrepancies are observable by passive fault diagnosis technique. Isolation of different faults is done by implementation a bank of Extended Kalman Filter (EKF) where the convergence criterion for EKF is confirmed by Genetic Algorithm (GA). The method is applied to the two tank bench mark example in presence of two faults.
OriginalsprogEngelsk
TitelICSE 2009 Twentieth International Conference on Systems Engineering
Antal sider6
ForlagIEEE Press
Publikationsdato2009
ISBN (Trykt) 978-1-4244-3452-7
StatusUdgivet - 2009
BegivenhedICSE 2009 Twentieth International Conference on Systems Engineering - Coventry, Storbritannien
Varighed: 8 sep. 200910 sep. 2009
Konferencens nummer: 20

Konference

KonferenceICSE 2009 Twentieth International Conference on Systems Engineering
Nummer20
LandStorbritannien
ByCoventry
Periode08/09/200910/09/2009

Emneord

    Citer dette

    Gholami, M., Schiøler, H., Bak, T., & Tabatabaeipour, S. M. (2009). Active Fault Detection and Isolation for Hybrid Systems . I ICSE 2009 Twentieth International Conference on Systems Engineering IEEE Press.
    Gholami, Mehdi ; Schiøler, Henrik ; Bak, Thomas ; Tabatabaeipour, Seyed Mojtaba. / Active Fault Detection and Isolation for Hybrid Systems . ICSE 2009 Twentieth International Conference on Systems Engineering. IEEE Press, 2009.
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    title = "Active Fault Detection and Isolation for Hybrid Systems",
    abstract = "An algorithm for active fault detection and isolation is proposed. In order to observe the failure hidden due to the normal operation of the controllers or the systems, an optimization problem based on minimization of test signal is used. The optimization based method imposes the normal and faulty models predicted outputs such that their discrepancies are observable by passive fault diagnosis technique. Isolation of different faults is done by implementation a bank of Extended Kalman Filter (EKF) where the convergence criterion for EKF is confirmed by Genetic Algorithm (GA). The method is applied to the two tank bench mark example in presence of two faults.",
    keywords = "Active fault detection, hybrid systems, optimization, mixed logical dynamical system, mixed integer quadratic programming, EKF, GA.",
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    Gholami, M, Schiøler, H, Bak, T & Tabatabaeipour, SM 2009, Active Fault Detection and Isolation for Hybrid Systems . i ICSE 2009 Twentieth International Conference on Systems Engineering. IEEE Press, ICSE 2009 Twentieth International Conference on Systems Engineering , Coventry, Storbritannien, 08/09/2009.

    Active Fault Detection and Isolation for Hybrid Systems . / Gholami, Mehdi; Schiøler, Henrik; Bak, Thomas; Tabatabaeipour, Seyed Mojtaba.

    ICSE 2009 Twentieth International Conference on Systems Engineering. IEEE Press, 2009.

    Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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    AU - Gholami, Mehdi

    AU - Schiøler, Henrik

    AU - Bak, Thomas

    AU - Tabatabaeipour, Seyed Mojtaba

    PY - 2009

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    N2 - An algorithm for active fault detection and isolation is proposed. In order to observe the failure hidden due to the normal operation of the controllers or the systems, an optimization problem based on minimization of test signal is used. The optimization based method imposes the normal and faulty models predicted outputs such that their discrepancies are observable by passive fault diagnosis technique. Isolation of different faults is done by implementation a bank of Extended Kalman Filter (EKF) where the convergence criterion for EKF is confirmed by Genetic Algorithm (GA). The method is applied to the two tank bench mark example in presence of two faults.

    AB - An algorithm for active fault detection and isolation is proposed. In order to observe the failure hidden due to the normal operation of the controllers or the systems, an optimization problem based on minimization of test signal is used. The optimization based method imposes the normal and faulty models predicted outputs such that their discrepancies are observable by passive fault diagnosis technique. Isolation of different faults is done by implementation a bank of Extended Kalman Filter (EKF) where the convergence criterion for EKF is confirmed by Genetic Algorithm (GA). The method is applied to the two tank bench mark example in presence of two faults.

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    Gholami M, Schiøler H, Bak T, Tabatabaeipour SM. Active Fault Detection and Isolation for Hybrid Systems . I ICSE 2009 Twentieth International Conference on Systems Engineering. IEEE Press. 2009