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Agglomeration detection in gas-phase ethylene polymerization based on the Gaussian of acoustic signal

An agglomeration detection method based on the Gaussian of acoustic signal is proposed for the gas-phase Ethylene polymerization. The forming mechanism of acoustic pressure in Fluid Bed Reactor (FBR) is analyzed first. Based on the analysis, the kurtosis of the acoustic signal is extracted as the feature to predict the changing in particle size distribution (PSD) of polymer within FBR. To avoid the repeated false alarms due to the repeatability of agglomeration, the distribution parameter of kurtosis is introduced as the output of detection method. The alarm threshold is determined based on the physical characteristic of kurtosis that is not absolutely empirical. The availability of the proposed method is testified in a pilot plant producing polyethylene by gas-phase method, and the comparisons with the other time-domain characteristics of acoustic signal and with the other measurement variables show that the Gaussian detection of acoustic signal is more sensitive to agglomeration.