A suitable technique for monitoring the gas-solid flows in fluidized beds can ensure the quality and efficiency of many industrial processes. Gaseous fluidization of solid particles is a complex phenomenon, which generates electrical charges due to particle-particle and particle-wall interactions. In this work, a ring-type electrical charge sensor was used for generating signals from an air-silica sand fluidized bed in a Plexiglas pipe riser of 34 mm ID operating at laboratory temperature. Firstly, a flow signature of each typical fluidization regime from static to turbulent was chosen by calculations of the Kolmogorov complexity. Then, data sets from time-series, Probability Density Function (PDF), and Power Spectrum Density (PSD) were used for the characterization of such flows. Further, similar data sets from other distinct fluidization conditions were also calculated, and the normalized cross-correlation between such data was shown as a robust parameter for the correct identification of the gas-solid fluidization regime. (C) 2021 Elsevier B.V. All rights reserved.