In rough seas, it is very important for the mariner to monitor the sea conditions and to keep both the ship and its cargo safe by suitable ship maneuvers. In spite of recent developments in nautical instruments, estimating sea conditions still depends on visual observation and many years' experience for deciding these maneuvers. Therefore, it is considered necessary to develop a ship-borne guidance system for heavy weather operation. New techniques are introduced into the Bayesian modeling procedure to estimate directional wave spectra based on ship motion data. In the proposed method, the triple-valued function problem in following seas is strictly taken into account and the optimum solution is obtained from the stochastic viewpoint. In order to examine the reliability of the proposed method, towing tank experiments and onboard experiments were carried out. Using the proposed method, it is shown that the directional wave spectra can be estimated from the vector-valued time series recorded on a running ship even in following seas.


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    Title :

    Bayesian estimation of directional wave spectra based on ship motions


    Additional title:

    Bayes-Verfahren für die Wellenspektrumschätzung mit Hilfe der Schiffbewegung


    Contributors:
    Iseki, T. (author) / Ohtsu, K. (author)

    Published in:

    Publication date :

    2000


    Size :

    5 Seiten, 4 Bilder, 1 Tabelle, 6 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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