Journal
INTERNATIONAL JOURNAL OF MULTIPHASE FLOW
Volume 34, Issue 12, Pages 1099-1107Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijmultiphaseflow.2008.07.001
Keywords
Bubble column; LDA; Gas hold-up; Recurrence quantification analysis (RQA); Support vector regression (SVR)
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Funding
- Council of Scientific and Industrial Research (CSIR), the Govt. of India, New Delhi
- NCL [MLP 011726]
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Recurrence quantification analysis (RQA) has emerged as a useful tool for detecting singularities in nonstationary time-series data. In this paper, we use RQA to analyze the velocity-time data acquired using laser doppler anemometry (LDA) signals in a bubble column reactor for Single point and Multipoint point spargers. The recurring dynamical states within the velocity-time-series occurring due to the bubble and the liquid passage at the point of measurement, are quantified by RQA features (namely % Recurrence, % Determinism, % Laminarity and Entropy), which in turn are regressed using support vector regression (SVR) to predict the point gas hold-up values. It has been shown that SVR-based model for the bubble column reactor can be potentially useful for online prediction and monitoring of the point gas hold-up for different sparging conditions. (C) 2008 Elsevier Ltd. All rights reserved.
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