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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Acknowledgments
This work was supported by a Grant-in-Aid for Young Scientists (B) from the MEXT (No. 21760672). Authors would like to thank Dr. Hirotada HASHIMOTO (Kobe University), Prof. Naoya UMEDA (Osaka University), Prof. Genshiro KITAGAWA (University of Tokyo) and Prof. Emeritus Kohei OHTSU (Tokyo University of Marine Science and Technology) for helpful suggestions. The authors would like to thank Enago (www.enago.jp) for the English language review.
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Terada, D., Matsuda, A. (2019). Onboard Analysis of Ship Stability Based on Time-Varying Autoregressive Modeling Procedure. In: Belenky, V., Spyrou, K., van Walree, F., Almeida Santos Neves, M., Umeda, N. (eds) Contemporary Ideas on Ship Stability. Fluid Mechanics and Its Applications, vol 119. Springer, Cham. https://doi.org/10.1007/978-3-030-00516-0_50
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DOI: https://doi.org/10.1007/978-3-030-00516-0_50
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