6 research outputs found
A rapid non-iterative proper orthogonal decomposition based outlier detection and correction for PIV data
The present work proposes a novel method of detection and estimation of outliers in particle
image velocimetry measurements by the modification of the temporal coefficients associated
with a proper orthogonal decomposition of an experimental time series. Using synthetic
outliers applied to two sequences of vector fields, the method is benchmarked against stateof-the-art
approaches recently proposed to remove the influence of outliers. Compared with
these methods, the proposed approach offers an increase in accuracy and robustness for the
detection of outliers and comparable accuracy for their estimation