TP III.1 Data-based structural health monitoring (SHM)
A sub-project in Innovation Area III – Life-Cycle Management of offshore wind turbines and wind farms
In this sub-project, a suitable SHM concept for the continuous monitoring of the support structure, tower and rotor blades is applied to existing sensors and measurement technology in the offshore wind farm and supplemented as required.
The extent to which existing sensor and monitoring infrastructure and previously recorded data can be used must be agreed with the operator. The innovation lies in the comprehensive analysis of structural and SCADA data already available in the OWP using probabilistic and deterministic system identification methods and AI-based methods.
The aim is to identify all relevant operating states and system parameters and to identify critical operating states and damage scenarios which, if known, can be eliminated in order to significantly extend the remaining service life of a wind farm.
Scientists responsible
- Prof. Dr.-Ing. habil. Raimund Rolfes, University of Hanover, ForWind
- Dr.-Ing. Tanja Grießmann, University of Hanover, ForWind