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2019 | OriginalPaper | Buchkapitel

50. Onboard Analysis of Ship Stability Based on Time-Varying Autoregressive Modeling Procedure

verfasst von : Daisuke Terada, Akihiko Matsuda

Erschienen in: Contemporary Ideas on Ship Stability

Verlag: Springer International Publishing

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Abstract

In this study, it is clarified that a dynamical system of rolling motion can be approximated by a time-varying autoregressive model, which is a kind of statistical model. As the result, when it is possible to measure the time series of rolling motion, a ship’s stability can be judged based on time series analysis by using a time-varying autoregressive modeling procedure. As for the verification of this method, the results of the model experiment for parametric roll resonance were used. It was confirmed that an evaluation of ship safety is possible based on the proposed procedure.

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Vorheriges Kapitel Further Perspectives on Operator Guidance and Training for Heavy Weather Ship Handling

Nächstes Kapitel FLO/FLO Heavy Lift Critical Stability Phases

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Terada, D., Hashimoto, H. and Matsuda, A. (2016), “Estimation of Parameters in the Linear Stochastic Dynamical System Driven by Colored Noise Sequence,” Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications, Volume 2016, pp. 125–131.

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Titel: Onboard Analysis of Ship Stability Based on Time-Varying Autoregressive Modeling Procedure
verfasst von: Daisuke Terada
Akihiko Matsuda
Verlag: Springer International Publishing
Buch: Contemporary Ideas on Ship Stability
Print ISBN: 978-3-030-00514-6

Electronic ISBN: 978-3-030-00516-0

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-3-030-00516-0_50