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  • Set-Membership Filtering Approach for Fault Detection of Systems with Unknown-but-Bounded Noises

    Author(s)
    Zhang, Yilian
    Qiu, Quanwei
    Yang, Fuwen
    Han, Qing-Long
    Vlacic, Ljubo
    Lu, Junwei
    Griffith University Author(s)
    Vlacic, Ljubo
    Lu, Junwei
    Han, Qing-Long
    Yang, Fuwen
    Qiu, Quanwei
    Year published
    2015
    Metadata
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    Abstract
    In this paper, a fault detection problem is considered for a class of systems with unknown-but-bounded noises by a set-membership filtering approach. The measurement and the process noises are both considered as unknown-but-bounded. Two ellipsoidal sets, which are one-step-ahead prediction ellipsoid and estimation ellipsoid, are proposed for the state estimation. The fault signal is detected by intersecting the two ellipsoids to check whether the intersection set is empty or not. Recursive algorithms for calculating the two ellipsoids and for detecting whether the fault occurs in the system are developed. Simulation results ...
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    In this paper, a fault detection problem is considered for a class of systems with unknown-but-bounded noises by a set-membership filtering approach. The measurement and the process noises are both considered as unknown-but-bounded. Two ellipsoidal sets, which are one-step-ahead prediction ellipsoid and estimation ellipsoid, are proposed for the state estimation. The fault signal is detected by intersecting the two ellipsoids to check whether the intersection set is empty or not. Recursive algorithms for calculating the two ellipsoids and for detecting whether the fault occurs in the system are developed. Simulation results are provided to illustrate the effectiveness of the proposed method.
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    Conference Title
    2015 5TH AUSTRALIAN CONTROL CONFERENCE (AUCC)
    Publisher URI
    http://ieeexplore.ieee.org/abstract/document/7361928/
    Subject
    Control Systems, Robotics and Automation
    Publication URI
    http://hdl.handle.net/10072/125421
    Collection
    • Conference outputs

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