Signals Features Extraction in Radioisotope Liquid-Gas Flow Measurements using Autocorrelation Function-Reference-Cited by-同舟云学术

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Signals Features Extraction in Radioisotope Liquid-Gas Flow Measurements using Autocorrelation Function

Published:2022-05-17 Issue: Volume: Page:
ISSN:
Container-title:2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)
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Author:

Hanus Robert¹,Zych Marcin²,Golijanck-Jedrzejczyk Anna³

Affiliation:

1. Rzeszów University of Technology,Faculty of Electrical and Computer Engineering,Rzeszow,Poland

2. Geophysics and Environmental Protection AGH University of Science and Technology,Faculty of Geology,Kraków,Poland

3. Gdańsk University of Technology,Faculty of Electrical and Control Engineering,Gdańsk,Poland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9803856/9803880/09804141.pdf?arnumber=9804141

Reference15 articles.

1. Performance comparison of artificial neural networks and expert systems applied to flow pattern identification in vertical ascendant gas–liquid flows

2. A novel method for flow pattern identification in unstable operational conditions using gamma ray and radial basis function

3. Volume fraction measurement and flow regime recognition in dynamic gas–liquid two phase flow using gamma ray radiation technique

4. Signals features extraction in radioisotope liquid-gas flow measurements using wavelet analysis

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mathematical Modeling of Liquid-Gas Phase Equilibrium on the Example of Soda Production;2022 International Conference on Information Science and Communications Technologies (ICISCT);2022-09-28

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