Computer Vision-Based Classification of Flow Regime and Vapor Quality in Vertical Two-Phase Flow

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This paper presents a method to classify flow regime and vapor quality in vertical two-phase (vapor-liquid) flow, using a video of the flow as the input; this represents the first high-performing and entirely camera image-based method for the classification of a vertical flow regime (which is effect...

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Detalles Bibliográficos
Autores principales: Kadish, Shai, Schmid, David, Son, Jarryd, Boje, Edward
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8839601/
https://www.ncbi.nlm.nih.gov/pubmed/35161751
http://dx.doi.org/10.3390/s22030996

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8839601/
https://www.ncbi.nlm.nih.gov/pubmed/35161751
http://dx.doi.org/10.3390/s22030996

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