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Predicting Transition Velocities from Bubbling to Turbulent Fluidization by S-Statistics on Vibration Signals
Authors:M. Shiea  H. Azizpour  N. Mostoufi  R. Zarghami
Affiliation:Multiphase Systems Research Lab, Oil and Gas Processing Centre of Excellence, School of Chemical Engineering, College of Engineering, University of Tehran , Tehran , Iran
Abstract:Vibration signatures as the representatives of the fluidized bed nonlinear hydrodynamics were measured in a lab-scale fluidized bed of sand particles operated at ambient conditions. The experiments were carried out for three particle sizes, different velocities, and three probe heights. The S-statistic method was applied to the vibration signatures for the chaotic attractor comparison. The measured signatures of two different consecutive velocities in similar conditions were compared based on null hypothesis that they have same origin. According to this method, when the value of S is larger than 3, the null hypothesis is rejected with the confidence level of 95% indicating that the two signals are originated from different hydrodynamics. The results are compared with results obtained from common statistical methods and it is shown that attractor comparison can be a reliable method for detecting regime transition velocity.
Keywords:Fluidized bed  null hypothesis  reconstructed attractor  S-statistic  vibration signal
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