Improving the EOL (End-Of-Line) testing process for wind turbine gear boxes
The aim of this research is to advance the end-of-line test process for wind turbine gearboxes.
A decrease in test rig related measurement spread is strived for, together with (improved) correlations between different test runs. The EOL evaluation of the gearboxes will so become more stable and reliable, leading to a smaller amount of physical performed tests. The eventual reduction will be valorized.
Techniques: data mining, machine learning, multi-body simulation, statistics