The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/d6e3306a-daca-4d2b-9d64-89f20e0eba5a

Bourkaib, Ryane (2025): Code underlying the publication: Unidirectional and multi-directional wave estimation from ship motions using an Adaptive Kalman Filter with the inclusion of varying forward speed. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/d6e3306a-daca-4d2b-9d64-89f20e0eba5a.v1

Categories

• Water Transport
• Other Environmental Sciences
• Other Technology
• Transport
• Technology
• Environmental Sciences

Keywords

Adaptive Kalman filter Sea state estimation Ship motion responses Time domain estimation

Time coverage

2024-2025

Licence

CC BY 4.0

Interoperability

• RO-Crate Metadata

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by Ryane Bourkaib

This repository provides a structured methodology for estimating directional sea state parameters using an Adaptive Kalman Filter (AKF) based on measured ship motion responses. The method incorporates the effect of forward speed and encounter frequency transformation, enabling more accurate real-time sea state reconstruction.

History

• 2025-05-27 first online, published, posted

Publisher

4TU.ResearchData

Format

Python.py; python.npy; PNG.pnj: text.txt; markdown.md

Associated peer-reviewed publication

Unidirectional and Multi-directional Wave Estimation from Ship Motions Using an Adaptive Kalman Filter with the Inclusion of Varying Forward Speed

References

• https://doi.org/10.1016/j.probengmech.2025.103773

Code hosting project url

https://gitlab.tudelft.nl/rbourkaib/sse-akf-directional-waves-pem

Derived from

• Data source is confidential and cannot be published

Funding

• This publication is part of the project “FUSION: Smart Sensing for Informed Maintenance and Optimized Naval Design” (project number KICH1.VE\-02.20.010) Partly financed by the Dutch Research Council (NWO)

Organizations

TU Delft, Faculty of Mechanical Engineering, Department of Maritime and Transport Technology, Ship Hydromechanics