Model
Digital Document
Publisher
Florida Atlantic University
Description
The time series method of Auto Regressive Moving Average (ARMA) is applied to
the problem of real time ship motion prediction. The theory of Scalar input
Scalar output ARMA (n, n-1) model and the same extended to multiple series as
vector, ARMAV model have been concisely presented. The field experimental
procedure for roll measurement of vessel at sea and barge model test procedure
for heave and pitch measurements are discussed. The time series data of roll is
analysed as a scalar ARMA (n, n-1) model and the results of prediction are
presented. The model test data of heave, pitch and wave were analysed as ARMAV
(n,n-1) vector model and the results are presented. The model test and
experimental results demonstrate the feasibility of ARMA modeling procedure as a
valuable tool in the area of real time ship motion prediction.
the problem of real time ship motion prediction. The theory of Scalar input
Scalar output ARMA (n, n-1) model and the same extended to multiple series as
vector, ARMAV model have been concisely presented. The field experimental
procedure for roll measurement of vessel at sea and barge model test procedure
for heave and pitch measurements are discussed. The time series data of roll is
analysed as a scalar ARMA (n, n-1) model and the results of prediction are
presented. The model test data of heave, pitch and wave were analysed as ARMAV
(n,n-1) vector model and the results are presented. The model test and
experimental results demonstrate the feasibility of ARMA modeling procedure as a
valuable tool in the area of real time ship motion prediction.
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