Use of COTS functional analysis software as an IVHM design tool for detection and isolation of UAV fuel system faults

Ioan-Octavian Niculita, Phil Irving, Ian K. Jennions

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    This paper presents a new approach to the development of
    health management solutions which can be applied to both
    new and legacy platforms during the conceptual design
    phase. The approach involves the qualitative functional
    modelling of a system in order to perform an Integrated
    Vehicle Health Management (IVHM) design – the
    placement of sensors and the diagnostic rules to be used in
    interrogating their output. The qualitative functional
    analysis was chosen as a route for early assessment of
    failures in complex systems. Functional models of system
    components are required for capturing the available system
    knowledge used during various stages of system and IVHM
    design. MADe™ (Maintenance Aware Design
    environment), a COTS software tool developed by PHM
    Technology, was used for the health management design. A
    model has been built incorporating the failure diagrams of
    five failure modes for five different components of a UAV
    fuel system. Thus an inherent health management solution
    for the system and the optimised sensor set solution have
    been defined. The automatically generated sensor set
    solution also contains a diagnostic rule set, which was
    validated on the fuel rig for different operation modes taking
    into account the predicted fault detection/isolation and
    ambiguity group coefficients. It was concluded that when
    using functional modelling, the IVHM design and the actual
    system design cannot be done in isolation. The functional
    approach requires permanent input from the system designer
    and reliability engineers in order to construct a functional
    model that will qualitatively represent the real system. In
    other words, the physical insight should not be isolated from
    the failure phenomena and the diagnostic analysis tools
    should be able to adequately capture the experience bases.
    This approach has been verified on a laboratory bench top
    test rig which can simulate a range of possible fuel system
    faults. The rig is fully instrumented in order to allow
    benchmarking of various sensing solution for fault
    detection/isolation that were identified using functional
    Original languageEnglish
    Publication statusPublished - 2012


    • analysis software
    • COTS
    • IVHM
    • design tool
    • UAV fuel system faults


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