کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9690521 | 1457242 | 2005 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Modeling nonlinear dynamics of circulating fluidized beds using neural networks
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
جریان سیال و فرایندهای انتقال
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
In the present work, artificial neural networks (ANNs) were proposed to model nonlinear dynamic behaviors of local voidage fluctuations induced by highly turbulent interactions between the gas and solid phases in circulating fluidized beds. The fluctuations of local voidage were measured by using an optical transmittance probe at various axial and radial positions in a circulating fluidized bed with a riser of 0.10 m in inner diameter and 10 m in height. The ANNs trained with experimental time series were applied to make short-term and long-term predictions of dynamic characteristics in the circulating fluidized bed. An early stop approach was adopted to enhance the long-term prediction capability of ANNs. The performance of the trained ANN was evaluated in terms of time-averaged characteristics, power spectra, cycle number and short-term predictability analysis of time series measured and predicted by the model.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: China Particuology - Volume 3, Issues 1â2, April 2005, Pages 84-89
Journal: China Particuology - Volume 3, Issues 1â2, April 2005, Pages 84-89
نویسندگان
Wei Chen, Atsushi Tsutsumi, Haiyan Lin, Kentaro Otawara,