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20182023
most citedDeterminant-based Fast Greedy Sensor Selection Algorithm

85 citations · 697 across the 21 of their papers we have counts for

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8 papers · 1 filter

physics.flu-dyn2023★ 6 cited

Unsteady large-scale wake structure behind levitated freestream-aligned circular cylinder

Sho Yokota, Taku Nonomura

The relationships between characteristic large-scale wake structures appearing behind a freestream-aligned circular cylinder are investigated and discussed from the velocity field…

physics.flu-dyn2023★ 18 cited

Flow instability and momentum exchange in separation control by a synthetic jet

Yoshiaki Abe, Taku Nonomura, Kozo Fujii

This study investigates a mechanism of controlling separated flows around an airfoil using a synthetic jet (SJ). A large-eddy simulation (LES) was performed for a leading-edge sepa…

physics.flu-dyn2022★ 25 cited

Spatiotemporal Superresolution Measurement based on POD and Sparse Regression applied to a Supersonic Jet measured by PIV and Near-field Microphone

Yuta Ozawa, Takayuki Nagata, Taku Nonomura

The present study proposed the framework of the spatiotemporal superresolution measurement based on the sparse regression with dimensionality reduction using the proper orthogonal…

physics.flu-dyn2022★ 23 cited

Optimization of Sparse Sensor Placement for Estimation of Wind Direction and Surface Pressure Distribution Using Time-Averaged Pressure-Sensitive Paint Data on Automobile Model

Ryoma Inoba, Kazuki Uchida, Yuto Iwasaki +5

This study proposes a method for predicting the wind direction against the simple automobile model (Ahmed model) and the surface pressure distributions on it by using data-driven o…

physics.flu-dyn2021★ 45 cited

Data-Driven Approach for Noise Reduction in Pressure-Sensitive Paint Data Based on Modal Expansion and Time-Series Data at Optimally Placed Points

Tomoki Inoue, Yu Matsuda, Tsubasa Ikami +3

We propose a noise reduction method for unsteady pressure-sensitive paint (PSP) data based on modal expansion, the coefficients of which are determined from time-series data at opt…

physics.flu-dyn2019★ 27 cited

Quantitative Evaluation of a Linear Reduced-order Model based on Particle-image-velocimetry Data of Separated Flow Field around Airfoil

Taku Nonomura, Koki Nankai, Yuto Iwasaki +2

A quantitative evaluation method for a reduced-order model of the flow field around an NACA0015 airfoil based on particle image velocimetry (PIV) data is proposed in the present pa…

physics.flu-dyn2018★ 62 cited

Extended-Kalman-filter-based dynamic mode decomposition for simultaneous system identification and denoising

Taku Nonomura, Hisaichi Shibata, Ryoji Takaki

A new dynamic mode decomposition (DMD) method is introduced for simultaneous online system identification and denoising in conjunction with the adoption of an extended Kalman filte…

physics.flu-dyn2018★ 63 cited

Dynamic mode decomposition using a Kalman filter for parameter estimation

Taku Nonomura, Hisaichi Shibata, Ryoji Takaki

A novel dynamic mode decomposition (DMD) method based on a Kalman filter is proposed. This paper explains the fast algorithm of the proposed Kalman filter DMD (KFDMD) in combinatio…