In nonlinear industrial processes, some product qualities or key variables are usually difficult
to measure online automatically due to the lack of sensors. In this work, a novel data-driven …

Accurate multiphase flowrate measurement is challenging but vital in the energy industry to
monitor the production process. Machine learning has recently emerged as a promising …

Dynamical system representations of two different multiphase flow regimes are extracted
using a clustering algorithm. Experiments were conducted in a flow loop using an X-ray …

Multiphase flowmeters are important to monitor oil wells, as they allow operators to obtain a
real-time estimate of the production. However, due to its high installation cost, uncertainty …

The accurate prediction of thermal-hydraulic parameters is based on the flow regime maps
for rod bundle, which is important for the safety of nuclear reactor. An air-water two phase …

Presenting a predictive model through handling of the dynamical system is critical for
modern technologies and industrial application. Here, Hankel-based dynamic mode …

Gas-liquid slug flow widely exists in many industrial processes. The structural velocities of
slug flow are important for fluid mechanics modeling, scientific researches, and process …

Gas-liquid two-phase flow widely exists in petroleum, natural gas, and other industries.
Recognition of flow structure is an important issue in the study of two-phase flow, and it is of …

In this paper, we propose a novel conductance parallel-wire array probe (CPAP) to measure
the interface characteristics of segregated horizontal oil-water two-phase flows. A …

Characterizing the nonlinear dynamic behaviors of gas–liquid two-phase flow is a
challenging but rewarding research topic. In this article, a novel multilayer visibility graph …