2019
DOI: 10.1016/j.cej.2018.11.083
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Dynamic characterizations of gas–solid flow in a novel multistage fluidized bed via nonlinear analyses

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Cited by 14 publications
(3 citation statements)
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“…Wavelet analysis (Mallat, 1989) has a good feature of localization and multi-resolution in both time and frequency domains. It has been widely used for multi-resolution analysis of the pressure fluctuations in gas-solid fluidized beds (see, e.g., Lu and Li, 1999;Ellis et al, 2003;Zhao and Yang, 2003;Wu et al, 2007;Llop and Gascons, 2018;Wu et al, 2019). It has also been used in pneumatic conveying of bulk materials (Li, 2002;Cong et al, 2013).…”
Section: Typical Pressure Fluctuationsmentioning
confidence: 99%
“…Wavelet analysis (Mallat, 1989) has a good feature of localization and multi-resolution in both time and frequency domains. It has been widely used for multi-resolution analysis of the pressure fluctuations in gas-solid fluidized beds (see, e.g., Lu and Li, 1999;Ellis et al, 2003;Zhao and Yang, 2003;Wu et al, 2007;Llop and Gascons, 2018;Wu et al, 2019). It has also been used in pneumatic conveying of bulk materials (Li, 2002;Cong et al, 2013).…”
Section: Typical Pressure Fluctuationsmentioning
confidence: 99%
“…Pressure fluctuations in fluidized beds contain a lot of information, such as the motion of particles, the formation and movement of bubbles, and particle-gas phase interactions. 12 The research mainly focuses 13,14 average value analysis 15 ), frequency domain analysis [power spectral density (PSD) analysis 14,16−19 ], time and frequency domain analysis [wavelet analysis (WA) 13,14,17,20,21 and Hilbert−Huang transform analysis 18,19 ], and chaos analysis (R/S method Hurst exponent analysis, 20,22 Shannon entropy analysis, 21 and Kolmogorov entropy analysis 20 ). A single perspective analysis method does not provide a comprehensive understanding of fluidized bed dynamics.…”
Section: Introductionmentioning
confidence: 99%
“…The research mainly focuses on extracting fluid dynamics characteristics from pressure signals for the hydrodynamic status monitoring and flow pattern identification. There are several time series analysis techniques to analyze the pressure fluctuation signals, including time domain analysis (standard deviation analysis and , average value analysis), frequency domain analysis [power spectral density (PSD) analysis , ], time and frequency domain analysis [wavelet analysis (WA) ,,,, and Hilbert–Huang transform analysis , ], and chaos analysis ( R / S method Hurst exponent analysis, , Shannon entropy analysis, and Kolmogorov entropy analysis). A single perspective analysis method does not provide a comprehensive understanding of fluidized bed dynamics.…”
Section: Introductionmentioning
confidence: 99%