Gaussian Process Latent Force Models for Virtual Sensing in a Monopile-Based Offshore Wind Turbine
J. Zou (TU Delft - Offshore Engineering)
A. Cicirello (TU Delft - Mechanics and Physics of Structures)
Alexandros Iliopoulos (Siemens)
Eliz-Mari Lourens (TU Delft - Offshore Engineering, TU Delft - Dynamics of Structures)
More Info
expand_more
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.
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.