Wavelet analysis of dynamic behavior in fluidized beds
作者： Jinqiang Ren , Qiming Mao , Jinghai Li , Weigang Lin
DOI: 10.1016/S0009-2509(00)00313-4
关键词:
摘要: Wavelet analysis has been used for studying dynamic behavior of fluidized beds, which proved effective in resolution time series into different scales components with distinct structure and identification transition from the dense phase to dilute phase. By examining wavelet spectrum functions various signals measured it is indicated that can be decomposed three components: micro-scale (particle size), meso-scale (cluster size) macro-scale (unit size). The principal component method was employed separation concentration by optical probe. In this method, maximum scale parameter s(0) function chosen as optimum parameter. reduce computation significantly remain benefit offered direct described our previous publication (Ren & Li, in: L. S. Fan, T. M. Knowlton (Eds.), Fluidization, Vol. IX, Engineering Foundation, New York, 1998, p. 629.). also extended detect boundaries clusters 2-D digital images acquired beds. (C) 2001 Elsevier Science Ltd. All rights reserved.
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