Online Estimation of Coke in a Circulating Fluidized Bed Based on Acoustic Emission Sensors and Multivariate Calibration
Online Estimation of Coke in a Circulating Fluidized Bed Based on Acoustic Emission Sensors and Multivariate Calibration
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DOI：
10.1021/ie102216a
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发表时间：
2011-06
影响因子：
4.2
通讯作者：
Congjing Ren;Tan Yueqi;Jingdai Wang;Yongrong Yang-
中科院分区：
文献类型：
--
作者：
Congjing Ren;Tan Yueqi;Jingdai Wang;Yongrong Yang-
本工作的目的是研究声学监测系统在规模化循环床生产过程中的应用。在实验室规模和生产规模的反应器上考察了声信号与催化剂结焦量的关系。通过功率谱密度分析，发现结焦量与声信号特征峰的频移呈线性关系。此外，还建立了基于偏最小二乘回归的催化剂结焦量检测模型。将模型计算结果与实验数据进行比较，得到积炭量的相关系数为0.947，交叉验证均方根误差为0.948%，表明该模型具有较高的精度，能够监测催化剂上的积炭量。此外，初步工业性试验的结果被认为是有希望的。这项工作为基于声发射技术的循环床焦量在线监测提供了有价值的见解。
The aim of this work was to investigate the application of an acoustic monitoring system for production scale circulating fluidized bed processes. The relationship between acoustic signals and the coke amount deposited on the catalysts was investigated on both lab scale and production scale reactors. By using Power spectrum density analysis, the relationship between the coke amount and the frequency shift of the characteristic peak of acoustic signals was found to be linear. In addition, a model to detect the coke amount on catalyst was established based on partial least-squares regression. Comparing the model results with experimental data, the amount of deposited coke is determined with a correlation coefficient 0.947 and a root mean squares error of cross validation 0.948%, which means that this model is accurate and capable of monitoring the coke amount on catalyst. Furthermore, the results of the preliminary industrial tests are considered to be promising. This work provides valuable insights into the online monitoring of coke amounts in circulating fluidized beds based on an AE technique.