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

Autor:	Ikuo Nakao, Daisuke Terada, Akihiko Matsuda, Masahiro Tamashima
Rok vydání:	2018
Předmět:	Computer science Mechanical Engineering 020101 civil engineering Ocean Engineering Natural frequency 02 engineering and technology Oceanography Stability (probability) 0201 civil engineering Autoregressive model Mechanics of Materials State space Metacentric height Time series Algorithm
Zdroj:	Journal of Marine Science and Technology. 24:285-296
ISSN:	1437-8213 0948-4280
DOI:	10.1007/s00773-018-0552-4
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2e7d10ef493fb563f73b4333e9762ebf https://doi.org/10.1007/s00773-018-0552-4 Zobrazit plný text záznamu Full text from SpringerLink