Ryoma Inoba

Anomaly Detection Using Data-Driven Sparse Sensors: Combination of Modal Representation and Sensor Optimization for Sensing of Targeted Variable

Yuji Saito, Ryoma Inoba, Yasuo Sasaki, Takayuki Nagata et autres

We propose an anomaly detection method based on modal representation and a noise-robust sparse sensor position optimization method. We focus on the detection of anomalies in global sea surface temperature field observations indicative of El Niño and La Niña phenomena. For evaluation, …

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Improved estimation of yaw angle and surface pressure distribution of Ahmed model with optimized sparse sensors by Bayesian framework based on pressure-sensitive paint data

Ryoma Inoba, Kazuki Uchida, Yuto Iwasaki, Keigo Yamada et autres

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Improved Methods of Optimized Sparse Sensing for Yaw Angle Estimation and Surface Pressure Distribution Reconstruction Using Pressure-Sensitive Paint Data of Ground Vehicle

Ryoma Inoba, Kazuki Uchida, Yuto Iwasaki, Takayuki Nagata et autres

View Video Presentation: https://doi.org/10.2514/6.2023-1944.vid This study proposes improved estimation frameworks for the wind direction (yaw angle) against a simple automobile model and the top surface pressure distribution from sparse sensors. The surface pressure distributions of the Ahmed model were measured by pressure-sensitive …

jp (code pays fourni par la source)

Improved Estimation of Yaw Angle and Surface Pressure Distribution of Ahmed Model with Optimized Sparse Sensors by Bayesian Framework Based on Pressure-Sensitive Paint Data

Ryoma Inoba, Kazuki Uchida, Yuto Iwasaki, Keigo Yamada et autres

jp (code pays fourni par la source)

Simultaneous measurement of pressure and temperature on the same surface by sensitive paints using the sensor selection method

Neetu Tiwari, Kazuki Uchida, Ryoma Inoba, Yuji Saito et autres

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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, Takayuki Nagata et autres

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Optimizing Sparse Sensor Placement for Flow Field Estimation Using Time-Averaged Pressure-Sensitive Paint Data: Application to Ground Vehicle

Ryoma Inoba, Kazuki Uchida, Yuto Iwasaki, Takayuki Nagata et autres

View Video Presentation: https://doi.org/10.2514/6.2022-3606.vid The present study proposes a method for estimating the wind direction against a simple automobile model (Ahmed model) and reconstructing surface pressure distribution on it by the sparse pressure sensors. The sparse pressure sensor placement was optimized by …

jp (code pays fourni par la source)