Introducing a Precise System for Determining Volume Percentages Independent of Scale Thickness and Type of Flow Regime

When fluids flow into the pipes, the materials in them cause deposits to form inside the pipes over time, which is a threat to the efficiency of the equipment and their depreciation. In the present study, a method for detecting the volume percentage of two-phase flow by considering the presence of s...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Abdulilah Mohammad Mayet [verfasserIn]

Seyed Mehdi Alizadeh [verfasserIn]

Zana Azeez Kakarash [verfasserIn]

Ali Awadh Al-Qahtani [verfasserIn]

Abdullah K. Alanazi [verfasserIn]

Hala H. Alhashimi [verfasserIn]

Ehsan Eftekhari-Zadeh [verfasserIn]

Ehsan Nazemi [verfasserIn]

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2022

Schlagwörter:

pipeline’s scale

feature extraction

GMDH neural network

two-phase flow

Übergeordnetes Werk:

In: Mathematics - MDPI AG, 2013, 10(2022), 10, p 1770

Übergeordnetes Werk:

volume:10 ; year:2022 ; number:10, p 1770

Links:

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Journal toc

DOI / URN:

10.3390/math10101770

Katalog-ID:

DOAJ02709314X

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