Design for diagnostics and prognostics: a physical- functional approach

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

    Research output: Contribution to conferencePaper

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    Abstract

    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
    system.
    Original languageEnglish
    Number of pages16
    DOIs
    Publication statusPublished - 2013

    Fingerprint

    Health
    Fuel systems
    Failure modes
    Failure analysis
    Lead
    Simulators
    Degradation

    Keywords

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

    Cite this

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    title = "Design for diagnostics and prognostics: a physical- functional approach",
    abstract = "This paper describes an end-to-end IntegratedVehicle Health Management (IVHM) development processwith a strong emphasis on the COTS software tools employedfor the implementation of this process. A mix of physicalsimulation and functional failure analysis was chosen as aroute for early assessment of degradation in complex systemsas capturing system failure modes and their symptomsfacilitates the assessment of health management solutions for acomplex asset. The method chosen for the IVHM developmentis closely correlated to the generic engineering cycle. Theconcepts employed by this method are further demonstratedon a laboratory fuel system test rig, but they can also beapplied to both new and legacy hi-tech high-value systems.Another objective of the study is to identify the relationsbetween the different types of knowledge supporting the healthmanagement development process when using togetherphysical and functional models. The conclusion of this lead isthat functional modeling and physical simulation should not bedone in isolation. The functional model requires permanentfeedback from a physical system simulator in order to be ableto build a functional model that will accurately represent thereal system. This paper will therefore also describe the stepsrequired to correctly develop a functional model that willreflect the physical knowledge inherently known about a givensystem.",
    keywords = "fuels, valves, analytical models, engines, vehicles, fault detection",
    author = "Ioan-Octavian Niculita and Jennions, {Ian K.} and Phil Irving",
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    language = "English",

    }

    Design for diagnostics and prognostics : a physical- functional approach. / Niculita, Ioan-Octavian; Jennions, Ian K.; Irving, Phil.

    2013.

    Research output: Contribution to conferencePaper

    TY - CONF

    T1 - Design for diagnostics and prognostics

    T2 - a physical- functional approach

    AU - Niculita, Ioan-Octavian

    AU - Jennions, Ian K.

    AU - Irving, Phil

    PY - 2013

    Y1 - 2013

    N2 - This paper describes an end-to-end IntegratedVehicle Health Management (IVHM) development processwith a strong emphasis on the COTS software tools employedfor the implementation of this process. A mix of physicalsimulation and functional failure analysis was chosen as aroute for early assessment of degradation in complex systemsas capturing system failure modes and their symptomsfacilitates the assessment of health management solutions for acomplex asset. The method chosen for the IVHM developmentis closely correlated to the generic engineering cycle. Theconcepts employed by this method are further demonstratedon a laboratory fuel system test rig, but they can also beapplied to both new and legacy hi-tech high-value systems.Another objective of the study is to identify the relationsbetween the different types of knowledge supporting the healthmanagement development process when using togetherphysical and functional models. The conclusion of this lead isthat functional modeling and physical simulation should not bedone in isolation. The functional model requires permanentfeedback from a physical system simulator in order to be ableto build a functional model that will accurately represent thereal system. This paper will therefore also describe the stepsrequired to correctly develop a functional model that willreflect the physical knowledge inherently known about a givensystem.

    AB - This paper describes an end-to-end IntegratedVehicle Health Management (IVHM) development processwith a strong emphasis on the COTS software tools employedfor the implementation of this process. A mix of physicalsimulation and functional failure analysis was chosen as aroute for early assessment of degradation in complex systemsas capturing system failure modes and their symptomsfacilitates the assessment of health management solutions for acomplex asset. The method chosen for the IVHM developmentis closely correlated to the generic engineering cycle. Theconcepts employed by this method are further demonstratedon a laboratory fuel system test rig, but they can also beapplied to both new and legacy hi-tech high-value systems.Another objective of the study is to identify the relationsbetween the different types of knowledge supporting the healthmanagement development process when using togetherphysical and functional models. The conclusion of this lead isthat functional modeling and physical simulation should not bedone in isolation. The functional model requires permanentfeedback from a physical system simulator in order to be ableto build a functional model that will accurately represent thereal system. This paper will therefore also describe the stepsrequired to correctly develop a functional model that willreflect the physical knowledge inherently known about a givensystem.

    KW - fuels

    KW - valves

    KW - analytical models

    KW - engines

    KW - vehicles

    KW - fault detection

    U2 - 10.1109/AERO.2013.6497143

    DO - 10.1109/AERO.2013.6497143

    M3 - Paper

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