CPM model applied to turbulent event detections

Abstract

The present work shows the application of a change-point model (CPM), based on the Cramer von Mises test for turbulent structures detection in airflow. Specifically, it models the occurrence of vortices in the wake of an airfoil having a flow control device in its trailing edge. It seeks to compare the results obtained with conventional statistical methodologies employed in this type of analysis and the application of a change-point model. The main objective is to detect the characteristic frequencies of the turbulent structures immersed in the airflow. The results show good response of the CPM methodology in the analysis of these flows, comparatively we observed the same values obtained by the methods mentioned above. This work shows a new application of change-point models for detecting changes in a time-dependent random signal which has an unknown distribution a priori.