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Sea State Estimation Based on Ship Motions Measurements and Data Fusion

[+] Author Affiliations
Céline Drouet, Nicolas Cellier, Jérémie Raymond, Denis Martigny

DCNS Research/Sirehna, Nantes, France

Paper No. OMAE2013-10657, pp. V005T06A049; 8 pages
  • ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering
  • Volume 5: Ocean Engineering
  • Nantes, France, June 9–14, 2013
  • Conference Sponsors: Ocean, Offshore and Arctic Engineering Division
  • ISBN: 978-0-7918-5539-3
  • Copyright © 2013 by ASME


In-service monitoring can help to increase safety of ships especially regarding the fatigue assessment. For this purpose, it is compulsory to know the environmental conditions encountered: wind, but also the full directional wave spectrum. During the EU TULCS project, a full scale measurements campaign has been conducted onboard the CMA-CGM 13200 TEU container ship Rigoletto. She has been instrumented to measure deformation of the ship as well as the sea state encountered during its trip. This paper will focus on the sea state estimation.

Three systems have been installed to estimate the sea state encountered by the Rigoletto: An X-band radar from Ocean Waves with WAMOS® system and two altimetric wave radars from RADAC®.

Nevertheless, the measured significant wave height can be disturbed by several external elements like bow waves, sprays, sea surface ripples, etc… Furthermore, ship motions are also measured and can provide another estimation of the significant wave height using a specific algorithm developed by DCNS Research for the TULCS project.

As all those estimations are inherently different, it is necessary to make a fusion of those data to provide a single estimation (“best estimate”) of the significant wave height. This paper will present the data fusion process developed for TULCS and show some first validation results.

Copyright © 2013 by ASME



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