Detecting gas–liquid two-phase flow pattern determinism from experimental signals with missing ordinal patterns-Reference-Cited by-同舟云学术

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Detecting gas–liquid two-phase flow pattern determinism from experimental signals with missing ordinal patterns

Published:2020-09 Issue:9 Volume:30 Page:093102
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Du Meng¹^ORCID,Zhang Lei¹,Niu Xiangyang¹,Grebogi Celso²^ORCID

Affiliation:

1. College of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin 300222, China

2. The Institute for Complex Systems and Mathematical Biology, King’s College, University of Aberdeen, Aberdeen AB24 3UE, United Kingdom

Funder

National Natural Science Foundation of China

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0016401

Reference58 articles.

1. Transition from bubble flow to slug flow along the streamwise direction in a gas–liquid swirling flow

2. Gas–Liquid Flow Pattern Analysis Based on Graph Connectivity and Graph-Variate Dynamic Connectivity of ERT

3. An experimental characterization of liquid films in downwards co-current gas–liquid annular flow by particle image and tracking velocimetry

4. Measurements of liquid-phase turbulence in gas–liquid two-phase flows using particle image velocimetry

5. A New Contactless Bubble/Slug Velocity Measurement Method of Gas–Liquid Two-Phase Flow in Small Channels

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1. Analysis and identification of gas-liquid two-phase flow pattern based on multivariate multi-scale dispersion entropy and interconnected dispersion pattern complex network;Ocean Engineering;2024-11

2. Joint mining of fluid knowledge and multi-sensor data for gas–water two-phase flow status monitoring and evolution analysis;Advanced Engineering Informatics;2024-10

3. Study on the gas-liquid two-phase flow patterns for hydrogen production from electrolytic water;International Journal of Hydrogen Energy;2024-03

4. Joint Recurrence Network-Based Dynamic Parameter Measurement of Gas–Liquid Two-Phase Flow;IEEE Transactions on Instrumentation and Measurement;2024

5. Interconnected ordinal pattern complex network for characterizing the spatial coupling behavior of gas–liquid two-phase flow;Chaos: An Interdisciplinary Journal of Nonlinear Science;2023-06-01

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