Autoencoder-Based Optimal Sensor Placement and Aerodynamic Load Reconstruction for Airfoils

Optimal sensor placement is a crucial issue in scientific and engineering research. This study proposes an autoencoder-based deep learning framework for automated optimal sensor layout and flow field reconstruction. A dataset is established based on transient Computational Fluid Dynamics (CFD) simul...

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Auteurs principaux:	Lixia Chen, Chao Yuan, Junlong Zhao
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2026-06-01
Collection:	Fluids
Sujets:	optimal sensor placement autoencoder airfoils CFD pressure coefficient reconstruction
Accès en ligne:	https://www.mdpi.com/2311-5521/11/6/144
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