caa a22 4500 606198792 CHVBK 20210128100935.0 cr unu---uuuuu 210128e20150201xx s 000 0 eng 10.1007/s00348-015-1894-x doi (NATIONALLICENCE)springer-10.1007/s00348-015-1894-x Proper orthogonal decomposition based outlier correction for PIV data [Elektronische Daten] [HongPing Wang, Qi Gao, LiHao Feng, RunJie Wei, JinJun Wang] Particle image velocimetry (PIV) is a powerful tool to study complex flows quantitatively. Post-processing of PIV data is necessary for outlier correction (OC) because of the image noise. Traditional methods detect and correct spurious vectors, respectively, using local statistical models. A new method proposed in this paper iteratively detects and replaces outliers using proper orthogonal decomposition (POD), which can dynamically approximate the original pure velocity field. The new algorithm, named as POD-OC, reconstructs a reference velocity field using low-order POD modes to detect outliers and uses that reference field for OC as well. Compared with the method of normalized median test, POD-OC is more efficient for detecting clustered outliers. It is also more accurate than other common interpolation approaches on outlier fixing. A novel block POD-OC is also designed for post-processing on an instantaneous velocity field, which overcomes the limit that POD can only be applied on a dataset with a large number of instantaneous fields. Springer-Verlag Berlin Heidelberg, 2015 Wang HongPing Key Laboratory of Fluid Mechanics, Ministry of Education, Beijing University of Aeronautics and Astronautics, 100191, Beijing, China aut Gao Qi Key Laboratory of Fluid Mechanics, Ministry of Education, Beijing University of Aeronautics and Astronautics, 100191, Beijing, China aut Feng LiHao Key Laboratory of Fluid Mechanics, Ministry of Education, Beijing University of Aeronautics and Astronautics, 100191, Beijing, China aut Wei RunJie MicroVec., Inc, 100083, Beijing, China aut Wang JinJun Key Laboratory of Fluid Mechanics, Ministry of Education, Beijing University of Aeronautics and Astronautics, 100191, Beijing, China aut Experiments in Fluids Springer Berlin Heidelberg 56/2(2015-02-01), 1-15 0723-4864 56:2<1 2015 56 348 https://doi.org/10.1007/s00348-015-1894-x text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00348-015-1894-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wang HongPing Key Laboratory of Fluid Mechanics, Ministry of Education, Beijing University of Aeronautics and Astronautics, 100191, Beijing, China aut NATIONALLICENCE 700 1- Gao Qi Key Laboratory of Fluid Mechanics, Ministry of Education, Beijing University of Aeronautics and Astronautics, 100191, Beijing, China aut NATIONALLICENCE 700 1- Feng LiHao Key Laboratory of Fluid Mechanics, Ministry of Education, Beijing University of Aeronautics and Astronautics, 100191, Beijing, China aut NATIONALLICENCE 700 1- Wei RunJie MicroVec., Inc, 100083, Beijing, China aut NATIONALLICENCE 700 1- Wang JinJun Key Laboratory of Fluid Mechanics, Ministry of Education, Beijing University of Aeronautics and Astronautics, 100191, Beijing, China aut NATIONALLICENCE 773 0- Experiments in Fluids Springer Berlin Heidelberg 56/2(2015-02-01), 1-15 0723-4864 56:2<1 2015 56 348