Response predictions using the observed autocorrelation function

This article studies a procedure that facilitates short-time, deterministic predictions of the wave-induced motion of a marine vessel, where it is understood that the future motion of the vessel is calculated ahead of time. Such predictions are valuable to assist in the execution of many marine oper...

Full description

Saved in:
Bibliographic Details
Published in:Marine structures 2018-03, Vol.58, p.31-52
Main Authors: Nielsen, Ulrik D., Brodtkorb, Astrid H., Jensen, Jørgen J.
Format: Article
Language:English
Subjects:
Autocorrelation
Autocorrelation functions
Comparative studies
Conditional process
Data processing
Determinstic motion prediction
Helicopters
Horizon
Landing statistics
Lifts
Measurement
Measurements
Model testing
Performance prediction
Real time
Sample autocorrelation function
Ships
Stationary process
Training
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This article studies a procedure that facilitates short-time, deterministic predictions of the wave-induced motion of a marine vessel, where it is understood that the future motion of the vessel is calculated ahead of time. Such predictions are valuable to assist in the execution of many marine operations (crane lifts, helicopter landings, etc.), as a specific prediction can be used to inform whether it is safe, or not, to carry out the particular operation within the nearest time horizon. The examined prediction procedure relies on observations of the correlation structure of the wave-induced response in study. Thus, predicted (future) values ahead of time for a given time history recording are computed through a mathematical combination of the sample autocorrelation function and previous measurements recorded just prior to the moment of action. Importantly, the procedure does not need input about the exciting wave system, and neither does it rely on off-line training. In the article, the prediction procedure is applied to experimental data obtained through model-scale tests, and the procedure's predictive performance is investigated for various irregular wave scenarios. The presented results show that predictions can be successfully made in a time horizon corresponding to about 8–9 wave periods ahead of current time (the moment of action). •Deterministic prediction of wave-induced ship responses.•No need for offline training.•Comparative study using model-scale data.
ISSN:0951-8339
1873-4170
DOI:10.1016/j.marstruc.2017.10.012