Cargando…

Signal processing for slug flow analysis: MATLAB algorithm

This paper presents an easy-to-use MATLAB© program to characterize slug flow, one of the most observed gas-liquid flow patterns in pipes. “BSignalProcessing2020.m” based on the study reported in [1] is a flexible, expandable, and adaptable statistical algorithm used to calculate the film and slug cu...

Descripción completa

Detalles Bibliográficos
Autores principales: Soto-Cortes, Gabriel, Pereyra, Eduardo, Sarica, Cem, Torres, Carlos, Soedarmo, Auzan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8563815/
https://www.ncbi.nlm.nih.gov/pubmed/34754814
http://dx.doi.org/10.1016/j.mex.2021.101546
_version_ 1784593485862535168
author Soto-Cortes, Gabriel
Pereyra, Eduardo
Sarica, Cem
Torres, Carlos
Soedarmo, Auzan
author_facet Soto-Cortes, Gabriel
Pereyra, Eduardo
Sarica, Cem
Torres, Carlos
Soedarmo, Auzan
author_sort Soto-Cortes, Gabriel
collection PubMed
description This paper presents an easy-to-use MATLAB© program to characterize slug flow, one of the most observed gas-liquid flow patterns in pipes. “BSignalProcessing2020.m” based on the study reported in [1] is a flexible, expandable, and adaptable statistical algorithm used to calculate the film and slug cut threshold values, the disregard cut value to group slug pulses, and the disregard cut value to remove slug pulses, which are required to determine the slug characteristics. The code is provided for unlimited and unrestricted use. • The statistical algorithm does not depend on any subjective criteria. • The methodology is illustrated using voltage time-series, but it is applicable without changes to instantaneous liquid holdup time-series.
format Online
Article
Text
id pubmed-8563815
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-85638152021-11-08 Signal processing for slug flow analysis: MATLAB algorithm Soto-Cortes, Gabriel Pereyra, Eduardo Sarica, Cem Torres, Carlos Soedarmo, Auzan MethodsX Method Article This paper presents an easy-to-use MATLAB© program to characterize slug flow, one of the most observed gas-liquid flow patterns in pipes. “BSignalProcessing2020.m” based on the study reported in [1] is a flexible, expandable, and adaptable statistical algorithm used to calculate the film and slug cut threshold values, the disregard cut value to group slug pulses, and the disregard cut value to remove slug pulses, which are required to determine the slug characteristics. The code is provided for unlimited and unrestricted use. • The statistical algorithm does not depend on any subjective criteria. • The methodology is illustrated using voltage time-series, but it is applicable without changes to instantaneous liquid holdup time-series. Elsevier 2021-10-11 /pmc/articles/PMC8563815/ /pubmed/34754814 http://dx.doi.org/10.1016/j.mex.2021.101546 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Method Article
Soto-Cortes, Gabriel
Pereyra, Eduardo
Sarica, Cem
Torres, Carlos
Soedarmo, Auzan
Signal processing for slug flow analysis: MATLAB algorithm
title Signal processing for slug flow analysis: MATLAB algorithm
title_full Signal processing for slug flow analysis: MATLAB algorithm
title_fullStr Signal processing for slug flow analysis: MATLAB algorithm
title_full_unstemmed Signal processing for slug flow analysis: MATLAB algorithm
title_short Signal processing for slug flow analysis: MATLAB algorithm
title_sort signal processing for slug flow analysis: matlab algorithm
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8563815/
https://www.ncbi.nlm.nih.gov/pubmed/34754814
http://dx.doi.org/10.1016/j.mex.2021.101546
work_keys_str_mv AT sotocortesgabriel signalprocessingforslugflowanalysismatlabalgorithm
AT pereyraeduardo signalprocessingforslugflowanalysismatlabalgorithm
AT saricacem signalprocessingforslugflowanalysismatlabalgorithm
AT torrescarlos signalprocessingforslugflowanalysismatlabalgorithm
AT soedarmoauzan signalprocessingforslugflowanalysismatlabalgorithm