Application of gamma densitometry and statistical signal analysis to gas phase velocity measurements in pipeline hydrotransport - Publication - Bridge of Knowledge

Search

Application of gamma densitometry and statistical signal analysis to gas phase velocity measurements in pipeline hydrotransport

Abstract

The work presents selected methods of signal analysis used in the processing of data obtained from radiometric probes. The used data came from an exemplary study of a two-phase liquid-gas flow at the laboratory installation. In such rigs many possible transport types may be observed, i.e. slug, plug and bubble flow, and each of them gives different signal-to-noise ratio of recorded data. Therefore, available radiometric methods of gas phase velocity measurements give diverse accuracies. Authors consider several improvements of data acquisition and processing which increase possibility of the flow type recognition and higher accuracy of the gas phase velocity estimation.

Citations

  • 1

    CrossRef

  • 0

    Web of Science

  • 9

    Scopus

Authors (6)

Cite as

Full text

full text is not available in portal

Keywords

Details

Category:
Conference activity
Type:
materiały konferencyjne indeksowane w Web of Science
Published in:
EPJ Web of Conferences no. 92, pages 1 - 6,
ISSN: 2100-014X
Title of issue:
PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH-ENERGY PHYSICS EXPERIMENTS 2014 strony 1 - 6
Language:
English
Publication year:
2015
Bibliographic description:
Zych M., Hanus R., Petryka L., Świsulski D., Strzępowicz A., Zych P..: Application of gamma densitometry and statistical signal analysis to gas phase velocity measurements in pipeline hydrotransport, W: PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH-ENERGY PHYSICS EXPERIMENTS 2014, 2015, SPIE-INT SOC OPTICAL ENGINEERING, 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA,.
DOI:
Digital Object Identifier (open in new tab) 10.1051/epjconf/20159202122
Verified by:
Gdańsk University of Technology

seen 120 times

Recommended for you

Meta Tags