Articles | Volume 11, issue 9
https://doi.org/10.5194/wes-11-3359-2026
https://doi.org/10.5194/wes-11-3359-2026
Research article
 | 
09 Sep 2026
Research article |  | 09 Sep 2026

Virtual sensing for strain estimation in wind turbine support structures based on a biaxial accelerometer

Jonathan Thurn, Clemens Jonscher, Benedikt Hofmeister, Gianluca Zorzi, and Raimund Rolfes

Data sets

A benchmark structure for virtual sensing on tower structures J. Thurn et al. https://doi.org/10.25835/lyav246d

Model code and software

Example code for virtual sensing for strain estimation on tower structures J. Thurn et al. https://doi.org/10.25835/a8ikfjhy

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Short summary
Load monitoring for wind turbine support structures is essential as turbines approach the end of their design life. Typically, load monitoring involves estimating strain from vibrational measurements. This paper introduces an approach that uses a biaxial and DC-capable acceleration sensor to estimate strains across all fatigue-relevant excitation frequencies on the entire support structure, enabled by compensating for gravity-induced biases in acceleration measurements.
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