Gaussian Process Latent Force Models for Virtual Sensing in a Monopile-Based Offshore Wind Turbine

Conference paper (2022)
Research Group
Mechanics and Physics of Structures (CEG) (TU Delft)
Copyright: © 2022 J. Zou, A. Cicirello, Alexandros Iliopoulos, E. Lourens
DOI: https://doi.org/10.1007/978-3-031-07254-3_29
More Info
expand_more

Published Date

2022

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Civil Engineering & Geosciences

Department

Engineering Structures

Research Group

Mechanics and Physics of Structures

Abstract

Fatigue assessment in offshore wind turbine support structures requires the monitoring of strains below the mudline, where the highest bending moments occur. However, direct measurement of these strains is generally impractical. This paper presents the validation of a virtual sensing technique based on the Gaussian process latent force model for dynamic strain monitoring. The dataset, taken from an operating near-shore turbine in the Westermeerwind Park in the Netherlands, provides a unique opportunity for validation of strain estimates at locations below the mudline using strain gauges embedded within the monopile foundation.

Files

EWSHM_2022_Paper_Final_AC.pdf
(.pdf | 1.12 Mb)
- Embargo expired in 19-06-2022