Bootstrapping PIV Outlier Detection and Correction Method
A PIV outlier detection and correction method has been developed. Bootstrapping concepts were integrated in the process to generate statistics, and several identification criteria such as mode-ratio and dip-test modal interval were used to distinguish outliers from non-outliers. The results are validated through parametric studies of different parameters, and testing into experimental flows. For more details, please visit here and click on the 'Fluid Dynamics Research Facility' link. A detailed explanation should be available under the 'Outlier Detection and Correction' section.

Principal Investigator: Professor Dana Dabiri