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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
Verified by:
Gdańsk University of Technology

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