Noise suppression method for hydroxyl tagging velocimetry based on generative adversarial networks

Jun Shao; Junzheng Wu; Jingfeng Ye; Zhenjie Wu; Zhenrong Zhang; Sheng Wang; Guohua Li; Mengmeng Tao; Haolong Wu; Aiping Yi; Zhiyun Hu

doi:10.1063/5.0121343

AIP Advances (Nov 2022)

Noise suppression method for hydroxyl tagging velocimetry based on generative adversarial networks

Jun Shao,
Junzheng Wu,
Jingfeng Ye,
Zhenjie Wu,
Zhenrong Zhang,
Sheng Wang,
Guohua Li,
Mengmeng Tao,
Haolong Wu,
Aiping Yi,
Zhiyun Hu

Affiliations

Jun Shao: State Key Laboratory of Laser Interaction with Matter, Northwest Institute of Nuclear Technology, Xi’an, Shaanxi 710024, People’s Republic of China
Junzheng Wu: State Key Laboratory of Laser Interaction with Matter, Northwest Institute of Nuclear Technology, Xi’an, Shaanxi 710024, People’s Republic of China
Jingfeng Ye: State Key Laboratory of Laser Interaction with Matter, Northwest Institute of Nuclear Technology, Xi’an, Shaanxi 710024, People’s Republic of China
Zhenjie Wu: State Key Laboratory of Laser Interaction with Matter, Northwest Institute of Nuclear Technology, Xi’an, Shaanxi 710024, People’s Republic of China
Zhenrong Zhang: State Key Laboratory of Laser Interaction with Matter, Northwest Institute of Nuclear Technology, Xi’an, Shaanxi 710024, People’s Republic of China
Sheng Wang: State Key Laboratory of Laser Interaction with Matter, Northwest Institute of Nuclear Technology, Xi’an, Shaanxi 710024, People’s Republic of China
Guohua Li: State Key Laboratory of Laser Interaction with Matter, Northwest Institute of Nuclear Technology, Xi’an, Shaanxi 710024, People’s Republic of China
Mengmeng Tao: State Key Laboratory of Laser Interaction with Matter, Northwest Institute of Nuclear Technology, Xi’an, Shaanxi 710024, People’s Republic of China
Haolong Wu: State Key Laboratory of Laser Interaction with Matter, Northwest Institute of Nuclear Technology, Xi’an, Shaanxi 710024, People’s Republic of China
Aiping Yi: State Key Laboratory of Laser Interaction with Matter, Northwest Institute of Nuclear Technology, Xi’an, Shaanxi 710024, People’s Republic of China
Zhiyun Hu: State Key Laboratory of Laser Interaction with Matter, Northwest Institute of Nuclear Technology, Xi’an, Shaanxi 710024, People’s Republic of China

DOI: https://doi.org/10.1063/5.0121343
Journal volume & issue: Vol. 12, no. 11
pp. 115202 – 115202-8

Abstract

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Hydroxyl tagging velocimetry (HTV) technology is crucial in the velocimetry diagnosis of combustion flow fields. However, obtaining accurate HTV information in practical engineering applications is difficult because of complex flow fields and background noise interference. Therefore, for noise suppression, we proposed a generative adversarial network method for targeted network training based on the analysis of HTV image noise characteristics in a complex flow field and the construction of a high-confidence noise description model. The proposed method can effectively suppress noise in HTV experimental data, improve the signal-to-noise ratio of HTV images, and improve the accuracy of HTV measurement.

Published in AIP Advances

ISSN: 2158-3226 (Online)
Publisher: AIP Publishing LLC
Country of publisher: United States
LCC subjects: Science: Physics
Website: http://aipadvances.aip.org/

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