“…The time series of the pressure signals can be analyzed using time-domain, frequencydomain, and state-space methods (Johnsson, Zijerveld, Schouten, van den Bleek, & Leckner, 2000;van Ommen et al, 2011). The minimum fluidization velocity (Punčochář, Drahoš,Čermák, & Selucký, 1985;Sobrino, Almendros-Ibañez, Santana, & de Vega, 2008;Mohanta, Daram, Chakraborty, & Meikap, 2012), pressure wave propagation (Bi, 2007), particle dispersion (Kang, Woo, Ko, & Kim, 1997), complex dynamics of a fluidized bed (Tahmasebpour, Zarghami, Sotudeh-Gharebagh, & Mostoufi, 2013), and bubble flow (Sasic, Leckner, & Johnsson, 2006;Croxford & Gilbertson, 2011) Nomenclature C xy (ω) coherence function COP xy (ω) coherent-output power spectral density for two time series recorded at position x and y f gas pulsation frequency IOP xy (ω) incoherent-output power spectral density for two time series recorded at position x and y M number of segments N total number of pressure data points N FFT data point number of the FFT p pressure time series p x (t), p y (t) pressure time series measured at position x or y S xx (ω), S yy (ω) power spectral density of the pressure time series measured at position x or y S xy (ω) cross power spectral density for two time series recorded at position x and y t time 2004;van Ommen et al, 2011) used the advanced analysis methods as an online tool to detect defluidization in an industrial fluidized bed. In this study, pressure fluctuations in a gas-vibro fluidized bed for coal preparation were investigated to determine the relationship among pressure fluctuations, bubble behavior, and separation efficiency.…”