[HTML][HTML] Denoising and fuel spray droplet detection from light-scattered images using deep learning
A deep learning-based method for denoising and detecting the gas turbine engine spray
droplets in the light-scattered image (Mie scattering) is proposed for the first time. A modified …
droplets in the light-scattered image (Mie scattering) is proposed for the first time. A modified …
[HTML][HTML] Nozzle atomizing performance evaluation in complex environment using residual atrous spatial pyramid network
Y Yang, C Li, X Hou, C Wang, W Zhang - AIP Advances, 2022 - pubs.aip.org
Conventional spray particle detection methods have disadvantages such as spray field
interference, large subjective standard error, and an inability to specifically analyze the …
interference, large subjective standard error, and an inability to specifically analyze the …
Image-Based Condition Monitoring of Air-Jet Spinning Machines with Artificial Neural Networks
K Jansen - 2024 - diva-portal.org
This master thesis focuses on applying deep neural networks (DNNs) in image-based
condition monitoring of air-jet spinning machines, specifically focusing on the spinning …
condition monitoring of air-jet spinning machines, specifically focusing on the spinning …
[PDF][PDF] Energy and AI
ABSTRACT A deep learning-based method for denoising and detecting the gas turbine
engine spray droplets in the lightscattered image (Mie scattering) is proposed for the first …
engine spray droplets in the lightscattered image (Mie scattering) is proposed for the first …