Visualization and Selection of Dynamic Mode Decomposition Components for Unsteady Flow

Abstract

Fig. 1: An overview of our proposed Dynamic Mode Decomposition (DMD) approach for the investigation of unsteady flow. For the data analysis process, we introduce improved DMD components and visualizations that respect the spatio-temporal character of DMD and, thus, describe the flow appropriately. Moreover, two new clustering approaches allow the user to aggregate flow components that segment the flow into physically relevant sections. These can therefore be used for the selection of DMD components. The combination of these new techniques enables new insights with DMD, as the resulting temporal developments suggest.