Advanced maintenance concepts in aerospace use condition monitoring based on aircraft data to assess and predict the health of its components. However, the onboard data is not always sufficient. That's why we also consider external, ground-based sensors to collect data that can be analysed immediately. At DLR's National Experimental Test Center for Unmanned Aircraft Systems in Cochstedt this summer, we intensively tested our tools and analysis methods, which were integrated in a so-called vertiport for this purpose. This platform collects acoustic and visual data from approaching and departing drones to detect even minor irregularities in their health status. This allows us to identify potential problems even before a drone has landed. Drones serve as a starting for us, since an integrated vehicle health management (IVHM) can be an enabling factor for a reliable autonomous operation without human intervention. The developed tools and methods will also be transferred to new technologies like electric propulsion and new vehicle and operation concepts, which differ significantly from classical aircraft operation. Our video gives an overview of our flight experiments.