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

Abstract

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.

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Category:
Articles
Type:
artykuły w czasopismach
Published in:
EPJ Web of Conferences no. 213, pages 1 - 4,
ISSN: 2100-014X
Language:
English
Publication year:
2019
Bibliographic description:
Hanus R., Zych M., Wilk B., Jaszczur M., Świsulski D.: Signals features extraction in radioisotope liquid-gas flow measurements using wavelet analysis// EPJ Web of Conferences -Vol. 213, (2019), s.1-4
DOI:
Digital Object Identifier (open in new tab) 10.1051/epjconf/201921302023
Bibliography: test
  1. Y. Chen, et al, Chem. Eng. Sci. 129,156-167 (2015) open in new tab
  2. S. Blaney, H. Yeung, Flow Meas. Instrum. 19, 57-66 (2008) open in new tab
  3. O. Arjmandi-Tash, A. Zarghami, R. Zarghami, Particul. Sci. Technol. 32, 498-505 (2014) open in new tab
  4. G.H. Roshani, et al, Measurement 129, 296-301 (2018) open in new tab
  5. C.M. Salgado, Prog. Nucl. Energy 52, 555-562 (2010) open in new tab
  6. Z. Sun, H. Zhang, Meas. Sci. Technol. 19, 015401 (2008) open in new tab
  7. G.H. Roshani, et al, Measurement 62, 25-32 (2015) open in new tab
  8. G.H. Roshani, E. Nazemi, Flow Meas. Instrum. 58, 6-11 (2017) open in new tab
  9. M. Khorsandi, et al, Radiat. Meas. 59, 183-187 (2013) open in new tab
  10. H. Ding, et al, Flow Meas. Instrum. 18, 37-46 (2007) open in new tab
  11. T. Elperin, M. Klochko, Exp. Fluids 32, 674-682 (2002) open in new tab
  12. E.S. Rosa, et al, Int. J. Multiphas. Flow 36, 738-754 (2010) open in new tab
  13. R. Hanus, et al., EPJ WoC 114, 02036 (2016) open in new tab
  14. B.M. Abbagoni, H. Yeung, Meas. Sci. Technol. 27, 084002 (2016) open in new tab
  15. R. Hanus, et al., Flow Meas. Instrum. 60, 17-23 (2018) open in new tab
  16. R. Hanus, Int. J. Multiphas. Flow 72, 210-217 (2015) open in new tab
  17. S. Mallat, A wavelet tour of signal processing, (Academic Press, third ed. Burlington 2009) open in new tab
  18. M.L.S. Indrusiak, S.V. Möller, Exp. Therm. Fluid Sci. 35, 319-327 (2011) open in new tab
  19. A.B. Slama, et al, Metrol. Meas. Syst. 25(1), 87-101 (2018) open in new tab
  20. National Instruments LabVIEW, ttp://www.ni.com 21. J. Krupa, BSc thesis, Rzeszów University of Technology, Rzeszów 2018 (in Polish) open in new tab
  21. R. Hanus, et al., EPJ WoC 114, 02035 (2016) open in new tab
  22. R. Hanus, et al., EPJ WoC 143, 02033 (2017) open in new tab
  23. R. Hanus, M. Zych, M. Kusy, P. Hanus, Przegl. Elektrotech. 94(8), 146-149 (2018) (in Polish) open in new tab
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Gdańsk University of Technology

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