Show all publications

Ship As a Wave Buoy - Estimating Full Direction Wave Spectra From In-service Ship Motion Measurements Using Deep Learning

AuthorsScholcz, T.P., Mak, B.
Conference/Journal39th International Conference on Ocean, Offshore & Arctic Engineering (OMAE 2020)
Date1 Aug 2020
The ocean wave directional spectrum is an important wave characteristic for maritime safety and navigation. Accurate estimation of directional spectra in real-time is a challenge. In this study we aim to reconstruct the directional spectra from ship motions using a deep convolutional encoding-decoding neural network. In-service measurements of ship motions and wave spectra from a WAMOS II wave scanning radar were used to train the neural network. The data was collected from a frigate type ship for a period of two years. We demonstrate that the deep convolutional encoding-decoding neural network is successful in predicting the directional spectra in real-time. At the same time, we conclude that more data is needed for a better prediction performance , including a more complete coverage of operational conditions.


Contact person photo

Thomas Scholcz


Bart Mak

Senior Researcher

You will need an account to view this content

To view this content you will need a login account. If you already have an account you can sign in below. If you want an account then you can create one.

data scienceresearch and developmentseakeepingnavywaves, impacts and hydrostructuralonboard advisorymarine systems