TY  - CONF
Y1  - 2013///
N1  - cited By 0; Conference of 23rd International Offshore and Polar Engineering Conference, ISOPE 2013 ; Conference Date: 30 June 2013 Through 5 July 2013; Conference Code:98971
N2  - The purpose of this paper is to propose and investigate a new approach for estimating response transfer function of offshore structures with wave as excitation input. The approach is based on time-varying autoregressive with exogenous input (TVARX) model. This method is virtually unexplored in offshore engineering field, as a number of works have shown that transfer functions such as response amplitude operator are estimated based on discrete Fourier transform (DFT). Here, we outline a practical algorithm for TVARX model which uses expectation-maximization (EM) algorithm based on Kalman smoother to generate the transfer function. The method is then applied to sampled discrete wave as excitation input and the motion responses of offshore structures as output data, generated from simulated field measurements. The proposed approach outlined here has shown the tremendous potential in the estimation of transfer function. The results indicate that TVARX model produces accurate, smooth and less noise TF estimates over DFT method. TVARX model also allows for the creation of time varying transfer function (TVTF). Copyright © 2013 by the International Society of Offshore and Polar Engineers (ISOPE).
A1  - Yazid, E.
A1  - Liew, Mohd.S.
A1  - Parman, S.
A1  - Kurian, V.J.
SP  - 567
EP  - 574
SN  - 10986189
TI  - Estimation of response transfer functions of offshore structures using the time-varying arx model
CY  - Anchorage, AK
KW  - ARX model; Expectation-maximization algorithms; Kalman smoother; Motion response; Offshore engineering; Response amplitude operator; Time-varying autoregressive; Time-varying transfer functions
KW  -  Algorithms; Discrete Fourier transforms; Estimation; Offshore structures
KW  -  Transfer functions
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883692047&partnerID=40&md5=cbe22ddd2edd6c044b49c3b0bd4c8686
ID  - scholars3449
AV  - none
ER  -