Research on Ship Swaying Motion Prediction Based on Multi-Variable Chaotic Time Series Analysis-Reference-Cited by-同舟云学术

Research on Ship Swaying Motion Prediction Based on Multi-Variable Chaotic Time Series Analysis

Published:2013-06 Issue: Volume:712-715 Page:1550-1554
ISSN:1662-8985
Container-title:Advanced Materials Research
language:
Short-container-title:AMR

Author:

Yang Xin Dong¹,Wang Zuo Chao¹,Shi Ai Guo¹,Liu Bo,Li Li¹

Affiliation:

1. Dalian Naval Academy

Abstract

Wind and waves have particularly significant influence upon exertion of naval vessels battle effectiveness. It is urgently necessary to improve the ability of the Navy to carry out combat service in severe sea state normally. This paper aims to obtain the accurate prediction of ship motions with second level predictable time in real waves. According to the characteristics of the ship motion, the research on extremely short-time prediction of ship motion has been carried out based on multi-variable chaotic time series analysis, and the effectiveness of the prediction of ship motion in real wave is highly improved.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Link

https://www.scientific.net/AMR.712-715.1550.pdf

Reference11 articles.

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4. Brook William Sherman. The Examination and Evaluation of Dynamic Ship Quiescence Prediction and Detection Methods for Application in the Ship-Helicopter Dynamic Interface[Master thesis], the Virginia Polytechnic Institute and State University.

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