Design for diagnostics and prognostics: a physical- functional approach

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

    Research output: Contribution to conferencePaperpeer-review

    8 Citations (Scopus)
    226 Downloads (Pure)


    This paper describes an end-to-end Integrated
    Vehicle Health Management (IVHM) development process
    with a strong emphasis on the COTS software tools employed
    for the implementation of this process. A mix of physical
    simulation and functional failure analysis was chosen as a
    route for early assessment of degradation in complex systems
    as capturing system failure modes and their symptoms
    facilitates the assessment of health management solutions for a
    complex asset. The method chosen for the IVHM development
    is closely correlated to the generic engineering cycle. The
    concepts employed by this method are further demonstrated
    on a laboratory fuel system test rig, but they can also be
    applied to both new and legacy hi-tech high-value systems.
    Another objective of the study is to identify the relations
    between the different types of knowledge supporting the health
    management development process when using together
    physical and functional models. The conclusion of this lead is
    that functional modeling and physical simulation should not be
    done in isolation. The functional model requires permanent
    feedback from a physical system simulator in order to be able
    to build a functional model that will accurately represent the
    real system. This paper will therefore also describe the steps
    required to correctly develop a functional model that will
    reflect the physical knowledge inherently known about a given
    Original languageEnglish
    Number of pages16
    Publication statusPublished - 2013


    • fuels
    • valves
    • analytical models
    • engines
    • vehicles
    • fault detection


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