| Issue |
EPJ Web Conf.
Volume 213, 2019
EFM18 – Experimental Fluid Mechanics 2018
|
|
|---|---|---|
| Article Number | 02023 | |
| Number of page(s) | 4 | |
| Section | Contributions | |
| DOI | https://doi.org/10.1051/epjconf/201921302023 | |
| Published online | 28 June 2019 | |
https://doi.org/10.1051/epjconf/201921302023
Signals features extraction in radioisotope liquid-gas flow measurements using wavelet analysis
1
Rzeszów University of Technology, Faculty of Electrical and Computer Engineering, 35-959 Rzeszów, Poland
2
AGH University of Science and Technology, Faculty of Geology, Geophysics and Environmental Protection, 30-059 Kraków, Poland
3
AGH University Science and Technology, Faculty of Energy and Fuels, 30-059 Kraków, Poland
4
Gdańsk University of Technology, Faculty of Electrical and Control Engineering, 80-233 Gdańsk, Poland
* Corresponding author: rohan@prz.edu.pl
Published online: 28 June 2019
Knowledge of the structure of a flow is significant for the proper conduct of a number of industrial processes. In this case, a description of a two-phase flow regimes is possible by use of the time-series analysis in time, frequency and state-space domain. In this article the Discrete Wavelet Transform (DWT) is applied for analysis of signals obtained for water-air flow using gamma ray absorption. The presented method was illustrated by use data collected in experiments carried out on the laboratory hydraulic installation with a horizontal pipe, equipped with two Am-241 radioactive sources and scintillation probes with NaI(Tl) crystals. Signals obtained from detectors for slug, plug, bubble, and transitional plug – bubble flows were considered in this work. The recorded raw signals were analyzed and wavelet energy was extracted using multiresolution analysis. It was found that energies of wavelet approximation at 1-5 levels are useful to recognize the structure of the flow.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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