Author Type

Graduate Student

Date of Award

1985

Document Type

Thesis

Publication Status

Version of Record

Submission Date

October 2026

Thesis/Dissertation Advisor [Chair]

Lin, Newman K.

Abstract

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.

Extent

107 p.

Comments

College of Engineering and Computer Science|Thesis (M.S.E.)--Florida Atlantic University, 1985.|FAU Electronic Theses and Dissertations Collection|College of Engineering and Computer Science

Identifier

FADT14246

Format

pdf

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