Ice throw from the blades of operational wind turbines is a safety concern when wind turbines are installed in a densely built environment. While several commercial solutions exist to detect icing or prevent ice build up altogether, there is still a desire for a more effective low-cost solution. In this contribution a previously instrumented onshore wind turbine is used to proof the concept of a novel ice detection strategy. In this new approach an accelerometer in the tower is used to infer the presence of icing on the rotor. Two approaches are investigated one based on natural frequencies extracted from operational modal analysis and the second based on Gaussian Process time series models.
|Publikationsdato||1. jan. 2018|
|Status||Udgivet - 1. jan. 2018|
|Begivenhed||9th European Workshop on Structural Health Monitoring, EWSHM 2018 - Manchester, Storbritannien|
Varighed: 10. jul. 2018 → 13. jul. 2018
|Konference||9th European Workshop on Structural Health Monitoring, EWSHM 2018|
|Periode||10/07/2018 → 13/07/2018|