(Development of WISE Program to foster AI Professionals
for Marine Industries)

【Archived Articles】The 1st Marine AI Open Seminar in AY2024 " TUMSAT 's latest case study of Marine x AI" Hybrid event

The 1st Marine AI Open Seminar in AY2024 " TUMSAT 's latest case study of  Marine x AI" Hybrid event was held on Monday, December 16, 2024.　

Program：「Uncertainty-associated directional wave spectrum estimation from wave-induced ship responses using Machine Learning methods」
　Associate professor Ulrik Dam Nielsen (Technical University of Denmark)

This study presents an assessment of three methods used for sea state estimation via the wave buoy analogy, where measured ship responses are processed. The three methods all rely on Machine Learning exclusively, but they have different output; Method 1 provides bulk parameters, Method 2 yields a point wave spectrum and The wave direction, while Method 3 gives the directional wave spectrum in nonparametric form. The assessment is made using full-scale data from an in-service container ship in cross-Atlantic service. Training and testing of the methods are made using data from a wave radar, and the three methods perform well. An uncertainty measure, equivalently, a trust level indicator, based on the variation between the postprocessed outputs of the methods is proposed, and this facilitates determination of estimates with small errors; without knowing the ground truth.
The methods and results in this study were derived via a joint work between Technical University of
Denmark and TUMSAT with support by DNV.

Presentation file : ML estimation of direc. wave spectra (Nielsen et al. 2024).pdf