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Nonlinear Analysis and Prediction of Time Series in Multiphase Reactors [electronic resource] / by Mingyan Liu, Zongding Hu.

By: Liu, Mingyan [author.].
Contributor(s): Hu, Zongding [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: SpringerBriefs in Applied Sciences and Technology: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Description: XI, 44 p. 19 illus., 1 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319041933.Subject(s): Engineering | Hydraulic engineering | Engineering | Engineering Fluid Dynamics | Fluid- and Aerodynamics | Nonlinear DynamicsDDC classification: 620.1064 Online resources: Click here to access online
Contents:
Introduction -- Experimental -- Analysis tools of time series data -- Results and discussion -- Concluding remarks.
In: Springer eBooksSummary: This book reports on important nonlinear aspects or deterministic chaos issues in the systems of multi-phase reactors. The reactors treated in the book include gas-liquid bubble columns, gas-liquid-solid fluidized beds and gas-liquid-solid magnetized fluidized beds. The authors take pressure fluctuations in the bubble columns  as time series for nonlinear analysis, modeling and forecasting. They present qualitative and quantitative non-linear analysis tools which include attractor phase plane plot, correlation dimension, Kolmogorov entropy and largest Lyapunov exponent calculations and local non-linear short-term prediction.
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Introduction -- Experimental -- Analysis tools of time series data -- Results and discussion -- Concluding remarks.

This book reports on important nonlinear aspects or deterministic chaos issues in the systems of multi-phase reactors. The reactors treated in the book include gas-liquid bubble columns, gas-liquid-solid fluidized beds and gas-liquid-solid magnetized fluidized beds. The authors take pressure fluctuations in the bubble columns  as time series for nonlinear analysis, modeling and forecasting. They present qualitative and quantitative non-linear analysis tools which include attractor phase plane plot, correlation dimension, Kolmogorov entropy and largest Lyapunov exponent calculations and local non-linear short-term prediction.

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