A Physics-Informed Neural Network Approach for Nearfield Acoustic Holography

A Physics-Informed Neural Network Approach for Nearfield Acoustic Holography

In this manuscript, we describe a novel methodology for nearfield acoustic holography (NAH). The proposed technique is based on convolutional neural networks, with autoencoder architecture, to reconstruct the pressure and velocity fields on the surface of the vibrating structure using the sampled pr...

Full description

Bibliographic Details
Main Authors: Marco Olivieri, Mirco Pezzoli, Fabio Antonacci, Augusto Sarti
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Sensors
Subjects:
nearfield acoustic holography
convolutional neural network
Kirchhoff–Helmholtz integral
finite element method
Online Access:https://www.mdpi.com/1424-8220/21/23/7834

Internet

https://www.mdpi.com/1424-8220/21/23/7834

Similar Items