Outlier detection for PIV statistics based on turbulence transport

Abstract The occurrence of data outliers in PIV measurements remains nowadays a problematic issue; their effective detection is relevant to the reliability experiments. This study proposes novel approach from time-averaged three-dimensional data. principle based on agreement measured turbulent kinetic energy (TKE) transport equation. ratio between local advection and production terms TKE along streamline determines admissibility inquired datapoint. Planar 3D experimental datasets are used demonstrate that presence outliers, (TT) criterion yields large separation correct erroneous vectors. comparison TT state-of-the-art universal outlier Westerweel Scarano (Exp Fluids 39:1096–1100, 2005) shows proposed larger percentage detected with lower fraction false positives for wider range possible values chosen threshold. Graphical abstract