Fatigue analysis for fleet management using Bayesian Networks

Tony Rosqvist

    Research output: Book/ReportReport

    Abstract

    A fatigue analysis framework for estimating and predicting (cumulative) fatigue damage of aircraft structures, based on fatigue damage data from a fleet of aircraft, is described. The data model is defined by a Bayesian Network. Assessments related to safety, maintenance and life cycle cost, flight task performance and fatigue damage distribution between structures, are supported. The fatigue analysis framework guides the flight planner in specifying flight syllabi that maximise operational and training effectiveness while simultaneously meeting safety and cost constraints. The implementation of the fatigue analysis framework requires computerised functions for data sorting, algorithms related to the Bayesian statistical inferences of the fatigue damage data model, and a graphical display of multiple analysis results.
    Original languageEnglish
    Place of PublicationEspoo
    PublisherVTT Technical Research Centre of Finland
    Number of pages26
    ISBN (Electronic)951-38-6582-7
    Publication statusPublished - 2005
    MoE publication typeNot Eligible

    Publication series

    SeriesVTT Working Papers
    Number35

    Keywords

    • fleet management
    • fatigue management
    • fatigue life
    • fatigue load
    • fatigue damage analysis
    • bayesian networks

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