Estimation of metacentric height using onboard monitoring roll data based on time series analysis

In this study, a novel procedure to estimate the metacentric height (GM) is proposed based on an autoregressive modeling procedure and a self-organizing state space modeling with respect to the onboard monitoring of roll data. First, the autoregressive modeling procedure is applied to estimate a natural frequency of the roll motion. Subsequently, a self-organizing state space modeling procedure is applied to estimate the GM using the estimated natural frequency. Model and onboard experiments were performed to verify the proposed procedure. The results confirmed that the proposed procedure achieves a good estimation in which the estimated results are in agreement with those obtained in the model experiments and are close to those derived from the stability manual corresponding to the ship condition in onboard experiments.

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