Vibration-based multiphase flow identification by deep learning for the vertical section of subsea pipelines-Reference-Cited by-同舟云学术

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Vibration-based multiphase flow identification by deep learning for the vertical section of subsea pipelines

Published:2024-10 Issue: Volume:151 Page:104167
ISSN:0141-1187
Container-title:Applied Ocean Research
language:en
Short-container-title:Applied Ocean Research

Author:

Qiao Weiliang^ORCID,Guo Hongtongyang,Huang Enze,Chen Haiquan

Funder

Social Science Foundation of Liaoning Province

Fundamental Research Funds for the Central Universities

Support Program for Longyuan Youth and Fundamental Research Funds for the Universities of Gansu Province

Tianjin Postdoctoral Science Foundation

China Postdoctoral Science Foundation

Huxiang Youth Talent Support Program

Publisher

Elsevier BV

Reference56 articles.

1. Malaria parasite detection using deep learning algorithms based on (CNNs) technique;Alnussairi;Computers and Electrical Engineering,2022

2. Infrared and visible image fusion with supervised convolutional neural network;An;Optik. (Stuttg),2020

3. Bayesian framework for reliability prediction of subsea processing systems accounting for influencing factors uncertainty;Bhardwaj;Reliab. Eng. Syst. Saf.,2022

4. Slug flow induced oscillations on subsea petroleum pipelines;Bordalo;Journal of Petroleum Science and Engineering,2018

5. Perspective on machine learning for advancing fluid mechanics;Brenner;Phys. Rev. Fluids.,2019

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