Sea State Estimation Using Model-scale DP Measurements

Astrid H. Brodtkorb; Ulrik D. Nielsen; Asgeir J. Sørensen

Sea State Estimation Using Model-scale DP Measurements

Astrid H. Brodtkorb
, Ulrik D. Nielsen
, Asgeir J. Sørensen

Norwegian University of Science and Technology

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

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Abstract

Complex marine operations are moving further from shore, into deeper waters, and harsher environments. The operating hours of a vessel are weather dependent, and good knowledge of the prevailing weather conditions may ensure cost-efficient and safe operations. This paper considers the estimation of the peak wave frequency of the on-site sea state based on the vessel’s motion in waves. A sea state can be described by significant wave height, peak wave frequency, wave direction, and often wind speed and direction are added as well. The signal-based algorithm presented in this paper is based on Fourier transforms of the vessel response in heave, roll and pitch. The measurements are used directly to obtain an estimate of the peak frequency of the waves. Experimental results from model-scale offshore ship runs at the Marine Cybernetics Laboratory (MCLab) at NTNU demonstrate the performance of the proposed sea state estimation algorithm.

Original language	English
Title of host publication	Proceedings of OCEANS '15
Number of pages	7
Publisher	IEEE
Publication date	2015
Publication status	Published - 2015
Event	MTS/IEEE Oceans 2015 - Gaylord National Resort & Convention Center, Washington DC, United States Duration: 19 Oct 2015 → 22 Oct 2015 http://oceans15mtsieeewashington.org/

Conference

Conference	MTS/IEEE Oceans 2015
Location	Gaylord National Resort & Convention Center
Country/Territory	United States
City	Washington DC
Period	19/10/2015 → 22/10/2015
Internet address	http://oceans15mtsieeewashington.org/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 14 Life Below Water

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PID3853421 Brodtkorb Nielsen SorensenFinal published version, 465 KB

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@inproceedings{c052fdd586934c89ba1a4d4bdd652be0,

title = "Sea State Estimation Using Model-scale DP Measurements",

abstract = "Complex marine operations are moving further from shore, into deeper waters, and harsher environments. The operating hours of a vessel are weather dependent, and good knowledge of the prevailing weather conditions may ensure cost-efficient and safe operations. This paper considers the estimation of the peak wave frequency of the on-site sea state based on the vessel{\textquoteright}s motion in waves. A sea state can be described by significant wave height, peak wave frequency, wave direction, and often wind speed and direction are added as well. The signal-based algorithm presented in this paper is based on Fourier transforms of the vessel response in heave, roll and pitch. The measurements are used directly to obtain an estimate of the peak frequency of the waves. Experimental results from model-scale offshore ship runs at the Marine Cybernetics Laboratory (MCLab) at NTNU demonstrate the performance of the proposed sea state estimation algorithm.",

author = "\{H. Brodtkorb\}, Astrid and Nielsen, \{Ulrik D.\} and \{J. S{\o}rensen\}, Asgeir",

year = "2015",

language = "English",

booktitle = "Proceedings of OCEANS '15",

publisher = "IEEE",

address = "United States",

note = "MTS/IEEE Oceans 2015 ; Conference date: 19-10-2015 Through 22-10-2015",

url = "http://oceans15mtsieeewashington.org/",

}

TY - GEN

T1 - Sea State Estimation Using Model-scale DP Measurements

AU - H. Brodtkorb, Astrid

AU - Nielsen, Ulrik D.

AU - J. Sørensen, Asgeir

PY - 2015

Y1 - 2015

N2 - Complex marine operations are moving further from shore, into deeper waters, and harsher environments. The operating hours of a vessel are weather dependent, and good knowledge of the prevailing weather conditions may ensure cost-efficient and safe operations. This paper considers the estimation of the peak wave frequency of the on-site sea state based on the vessel’s motion in waves. A sea state can be described by significant wave height, peak wave frequency, wave direction, and often wind speed and direction are added as well. The signal-based algorithm presented in this paper is based on Fourier transforms of the vessel response in heave, roll and pitch. The measurements are used directly to obtain an estimate of the peak frequency of the waves. Experimental results from model-scale offshore ship runs at the Marine Cybernetics Laboratory (MCLab) at NTNU demonstrate the performance of the proposed sea state estimation algorithm.

AB - Complex marine operations are moving further from shore, into deeper waters, and harsher environments. The operating hours of a vessel are weather dependent, and good knowledge of the prevailing weather conditions may ensure cost-efficient and safe operations. This paper considers the estimation of the peak wave frequency of the on-site sea state based on the vessel’s motion in waves. A sea state can be described by significant wave height, peak wave frequency, wave direction, and often wind speed and direction are added as well. The signal-based algorithm presented in this paper is based on Fourier transforms of the vessel response in heave, roll and pitch. The measurements are used directly to obtain an estimate of the peak frequency of the waves. Experimental results from model-scale offshore ship runs at the Marine Cybernetics Laboratory (MCLab) at NTNU demonstrate the performance of the proposed sea state estimation algorithm.

M3 - Article in proceedings

BT - Proceedings of OCEANS '15

PB - IEEE

T2 - MTS/IEEE Oceans 2015

Y2 - 19 October 2015 through 22 October 2015

ER -

Sea State Estimation Using Model-scale DP Measurements

Abstract

Conference

UN SDGs

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