Prediction of First-Order Vessel Responses with Applications to Decision Support Systems

Ulrik D. Nielsen; Toshio Iseki

Prediction of First-Order Vessel Responses with Applications to Decision Support Systems

Tokyo University of Marine Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

The paper presents a practical and simple approach for making vessel response predictions. Features of the procedure include a) predictions which are scaled so to better agree with corresponding true, future values to be measured at the time the predictions apply at; and b) predictions that are assigned an uncertainty measure to reflect a level of confidence. The approach is tested with full-scale data and the obtained results/predictions agree well with measured values. Potentially, the procedure is therefore very useful in future developments of general decision support systems.

Original language	English
Title of host publication	Proceedings of the World Maritime Technology Conference
Number of pages	11
Publisher	Society of Naval Architects and Marine Engineers
Publication date	2015
Publication status	Published - 2015
Event	World Maritime Technology Conference 2015 - Rhode Island Convention & Omni Hotel, Providence, Rhode Island, United States Duration: 3 Nov 2015 → 7 Nov 2015 http://www.sname.org/2015wmtc/home

Conference

Conference	World Maritime Technology Conference 2015
Location	Rhode Island Convention & Omni Hotel
Country/Territory	United States
City	Providence, Rhode Island
Period	03/11/2015 → 07/11/2015
Internet address	http://www.sname.org/2015wmtc/home

Keywords

Ship responses
Predictions
Sea state
Response spectra
Uncertainty measure

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title = "Prediction of First-Order Vessel Responses with Applications to Decision Support Systems",

abstract = "The paper presents a practical and simple approach for making vessel response predictions. Features of the procedure include a) predictions which are scaled so to better agree with corresponding true, future values to be measured at the time the predictions apply at; and b) predictions that are assigned an uncertainty measure to reflect a level of confidence. The approach is tested with full-scale data and the obtained results/predictions agree well with measured values. Potentially, the procedure is therefore very useful in future developments of general decision support systems. ",

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T1 - Prediction of First-Order Vessel Responses with Applications to Decision Support Systems

AU - Nielsen, Ulrik D.

AU - Iseki, Toshio

PY - 2015

Y1 - 2015

N2 - The paper presents a practical and simple approach for making vessel response predictions. Features of the procedure include a) predictions which are scaled so to better agree with corresponding true, future values to be measured at the time the predictions apply at; and b) predictions that are assigned an uncertainty measure to reflect a level of confidence. The approach is tested with full-scale data and the obtained results/predictions agree well with measured values. Potentially, the procedure is therefore very useful in future developments of general decision support systems.

AB - The paper presents a practical and simple approach for making vessel response predictions. Features of the procedure include a) predictions which are scaled so to better agree with corresponding true, future values to be measured at the time the predictions apply at; and b) predictions that are assigned an uncertainty measure to reflect a level of confidence. The approach is tested with full-scale data and the obtained results/predictions agree well with measured values. Potentially, the procedure is therefore very useful in future developments of general decision support systems.

KW - Ship responses

KW - Predictions

KW - Sea state

KW - Response spectra

KW - Uncertainty measure

M3 - Article in proceedings

BT - Proceedings of the World Maritime Technology Conference

PB - Society of Naval Architects and Marine Engineers

T2 - World Maritime Technology Conference 2015

Y2 - 3 November 2015 through 7 November 2015

ER -

Prediction of First-Order Vessel Responses with Applications to Decision Support Systems

Abstract

Conference

Keywords

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