Real-time vision-based monitoring for offshore blades: Rivers Project

The RIVERS project launched in May 2019 with the Université de Nantes and Siemens Gamesa has recently come to an end.

The main objective of this project was to study the feasibility of adapting and implementing a solution for structural health monitoring of a composite offshore wind turbine blade, based on the Digital Image Correlation (DIC) technique.
The mains results are as follows:
– Adaptation of DIC for the detection of defaults, automatic generation of alerts and real-time monitoring of defaults evolutions.
– Coupling of the DIC with a robotic acquisition system
– Transposition and application of DIC to a real & industrial case

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