DocumentCode :
2818198
Title :
Real Time Prediction of Ship Response to Ocean Waves Using Time Series Analysis
Author :
Yumori, Isao Roy
Author_Institution :
Hawaii Lab., Naval Ocean Syst. Center, Kailua, HI, USA
fYear :
1981
fDate :
16-18 Sept. 1981
Firstpage :
1082
Lastpage :
1089
Abstract :
This paper describes the results of a feasibility study of using time series analysis methods to predict the real time motion of ships up to 10 seconds in advance. Potential application of this work are aircraft landing on ships, and motion compensation devices for handling loads at sea. It uses a statistical method that finds a time domain model which best fits an input wave sensor time history to the ship response time history. It is called a leading indicator method using an Auto- Regressive Moving Average (ARMA) model. It determines the relationship in situ, and can be redetermined as ship heading and sea conditions change. Tests of the algorithm on recorded ocean test data show good predictions of phase and amplitude for 2 to 4 seconds in advance and phase for 8 to 10 seconds in 8 second waves.
Keywords :
autoregressive moving average processes; ocean waves; ships; time series; vehicle dynamics; autoregressive moving average model; input wave sensor time history analysis; motion compensation devices; ocean waves; ship response real time motion prediction; ship response time history analysis; statistical method; time series analysis; Aircraft; Autoregressive processes; History; Marine vehicles; Motion analysis; Motion compensation; Ocean waves; Statistical analysis; Testing; Time series analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
OCEANS 81
Conference_Location :
Boston, MA
Type :
conf
DOI :
10.1109/OCEANS.1981.1151574
Filename :
1151574
Link To Document :
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