Cargando…
Gas–Liquid Two-Phase Flow Pattern Identification of a Centrifugal Pump Based on SMOTE and Artificial Neural Network
The accurate identification of the gas–liquid two-phase flow pattern within the impeller of a centrifugal pump is critical to develop a reliable model for predicting the gas–liquid two-phase performance of the centrifugal pump. The influences of the inlet gas volume fraction, the liquid phase flow r...
Autores principales: | He, Denghui, Li, Ruilin, Zhang, Zhenduo, Sun, Shuaihui, Guo, Pengcheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8778694/ https://www.ncbi.nlm.nih.gov/pubmed/35056168 http://dx.doi.org/10.3390/mi13010002 |
Ejemplares similares
-
SMOTE-CD: SMOTE for compositional data
por: Nguyen, Teo, et al.
Publicado: (2023) -
Numerical Calculation of Energy Performance and Transient Characteristics of Centrifugal Pump under Gas-Liquid Two-Phase Condition
por: Zhou, Ling, et al.
Publicado: (2020) -
Centrifugal and axial flow pumps : theory, design, and application /
por: Stepanoff, Alexey Joakim
Publicado: (1993) -
Centrifugal pumps
por: Vaughn, Ward, et al.
Publicado: (2017) -
Centrifugal pumps
por: Gülich, Johann Friedrich
Publicado: (2014)