scholarly journals Time Series Analysis of Non-stationary Ship Motion Data - II. : Instantaneous Cross-spectral Analysis of Vector-valued Time-history Data

2006 ◽  
Vol 114 (0) ◽  
pp. 151-156
Author(s):  
Toshio ISEKI
2013 ◽  
Vol 712-715 ◽  
pp. 1550-1554
Author(s):  
Xin Dong Yang ◽  
Zuo Chao Wang ◽  
Ai Guo Shi ◽  
Bo Liu ◽  
Li Li

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.


Author(s):  
Daisuke Terada ◽  
Genshiro Kitagawa

In this study, from the viewpoint of ship safety, a stability judgment system based on Time Series Analysis is proposed in order to protect large amplitude rolling in rough seas. The examination of the system is carried out using model experimental data obtained with a free-running test involving a container ship. In this system, the data is analyzed with a self-organizing state space modeling procedure, and ship motion parameters that characterize the ship motion are identified at every moment. Moreover, a safety index is defined by using the identified parameters, and the stability of the ship is determined. It is confirmed that the proposed system is a powerful tool for determining the stability of the ship. Some future problems with respect to the online identification are also considered.


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