Optimal sensor placement using machine learning

DOI10.1016/J.COMPFLUID.2017.10.002zbMath1390.76808arXiv1609.07885OpenAlexW2963591671MaRDI QIDQ1648618

R. Semaan

Publication date: 27 June 2018

Published in: Computers and Fluids (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1609.07885

zbMATH Keywords

machine learningflow controloptimal sensor placement

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Direct numerical and large eddy simulation of turbulence (76F65) Flow control and optimization for compressible fluids and gas dynamics (76N25)

Related Items (1)

Optimal design of sensors via geometric criteria

Uses Software

• MEGAFLOW
• TAU
• C4.5
• xROM

Cites Work

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• Unsteady flow sensing and estimation via the gappy proper orthogonal decomposition
• Optimized sensor placement for urban flow measurement
• Turbulence and the dynamics of coherent structures. I. Coherent structures
• Sensor Placement Methodologies for Dynamic Testing
• Optimal placement and gains of sensors and actuators for feedback control
• Random forests

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