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- W2021011951 abstract "Recently, the wavelet transform analysis based on the localized functions has been utilized to effectively analyze the pressure fluctuation signals. The pressure fluctuation signals can be decomposed into its approximations and details at different resolutions. By the wavelet transform, the time-frequency distribution of energy was described by the multi-resolution method. The result from the maximum energy of the approximations by wavelet transform analysis agreed with the result of the standard deviation analysis of pressure fluctuations. As seen from this study, the wavelet analysis in comparison with the standard deviation analysis, power spectral density function (PSDF), and the energy of PSDF enabled us to obtain the transition velocities, Uc and Uk, in characterizing the flow regimes of the fluidized bed." @default.
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- W2021011951 date "2005-01-01" @default.
- W2021011951 modified "2023-09-26" @default.
- W2021011951 title "Identification of Transition Velocities in Fluidized Beds Using Wavelet Analysis" @default.
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- W2021011951 doi "https://doi.org/10.1252/jcej.38.409" @default.
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