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- W77771770 abstract "Fluidized beds have long been used as multiphase reactors in the chemical processing industry and as fossil-fuel combustors in energy production. This study was undertaken to determine whether fluidization data exhibit only stochastic features, or whether they contain chaotic characteristics as well. An extensive search for chaotic behavior has been conducted on a large time series data set on fluidized bed pressure fluctuation. The non-linear dynamical techniques employed include the correlation integral and the nearest neighbor methods. Mutual information algorithm has been employed to obtain the optimal time delay necessary for the analysis of the experimental time series. A singular value decomposition technique has been used for noise reduction. The results indicate that despite the highly fluctuating appearance of the data there is a non-random component present. For the data that has been examined no low-dimensional (i.e. of dimension 2--3) attractor has been found. Any strange attractor that may be present is likely to have at least moderate dimension (i.e. above 3--4). For the analysis of possibly chaotic time series from experimental data (as in contrast to model-generated data) this study has revealed that the issues of data set size, noise and moderate-to-high dimensional attractors are critical. Careful utilization ofmore » existing and developing non-linear dynamical techniques is necessary to avoid drawing spurious conclusions. 13 refs., 5 figs.« less" @default.
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- W77771770 date "1990-01-01" @default.
- W77771770 modified "2023-09-26" @default.
- W77771770 title "A study of fluidized bed dynamical behavior: A chaos perspective" @default.
- W77771770 hasPublicationYear "1990" @default.
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