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    Fatigue Predictions using Statistical Inference within the Monitas II Project

    Authors
    Meulen, F. van der, Hageman, R.
    Date
    Jun 1, 2013

    In this paper a statistical method is described for predicting fatigue accumulation. The proposed method for predicting accumulated fatigue is based on a nonparametric Bayesian analysis. Bayesian analysis provides a natural prediction framework for combining long-term design information and actual measured data. This work is part of the Monitas II project, which delivered an advisory hull monitoring system for FPSOs with automatic data analyses capabilities. The prediction tool is to be embedded in this hull monitoring system.

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    Experts

    Remco Hageman

    Project Manager Performance at Sea

    TAGS

    Stability, Seakeeping and Ocean Engineering Renewables Oil and Gas Infrastructure Marine Systems Life at Sea Joint Industry Project JIP network

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