Main content area

Detecting regime transitions in gas-solid fluidized beds from low frequency accelerometry signals

de Martín, Lilian, Briongos, Javier Villa, García-Hernando, Néstor, Aragón, José M.
Powder technology 2011 v.207 no.1-3 pp. 104-112
accelerometry, entropy, fluidized beds, monitoring, spectral analysis, wavelet
Low frequency accelerometry signals have been applied for detecting regime transitions in a gas-solid fluidized bed. Three solids have been fluidized to promote bubbling, churn and slugging regime. The Kolmogorov entropy and the power spectral density have been used to determine the regime transitions as well as to analyze the dynamical features characterizing the different regimes. Pressure and external acceleration measurements have been taken simultaneously. The accelerometry signal was sampled at 10kHz; then, the envelope was extracted and resampled at 400Hz. Pressure signal was sampled at 10kHz and resampled at 400Hz. Two problems were found during the work: the colored noise present in the envelope and the lack of low frequency information for one of the tested solids. FIR, wavelet and EMD filter strategies have been applied to remove the noise present in the envelope. It is concluded that the envelope of the accelerometry signal might be used to detect regime transition in the same way as the pressure fluctuation signals. Both Kolmogorov and spectral analysis exhibit common features to those obtained from pressure signal analysis, supporting the hypothesis of using low frequency accelerometry instead of conventional pressure measurements for monitoring fluidized beds.