Diagnosis of the Cane Sugar Crystallization Process by Multifractal Analysis of Temperature Time Series,Chemical Engineering & Technology

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Diagnosis of the Cane Sugar Crystallization Process by Multifractal Analysis of Temperature Time Series
Chemical Engineering & Technology ( IF 1.8 ) Pub Date : 2021-09-02 , DOI: 10.1002/ceat.202100231
Jazael G. Moguel-Castañeda ₁ , Jorge.A. Romero-Bustamante ₁ , Oscar Velazquez-Camilo ₂ , Hector Puebla ₁ , Eliseo Hernandez-Martinez ₃

Affiliation

The monitoring and diagnosis of crystallization processes are difficult due to the interaction of nucleation and crystal growth phenomena. In recent years, image and time series analysis using fractal methodologies showed potential as an alternative for monitoring crystal growth, although the available results are scarce. In this work, the multifractal detrended fluctuation analysis (MF-DFA) was applied to temperature time series obtained from a laboratory-scale cane sugar crystallization operated at different operating conditions. MF-DFA reflects that the crystallization process exhibits multifractal properties associated with the dynamic behavior of the underlying phenomena. Thus, multifractal analysis can identify how operational changes influence the crystal growth and formed crystal mass.

中文翻译：

用温度时间序列的多重分形分析诊断蔗糖结晶过程

由于成核和晶体生长现象的相互作用，结晶过程的监测和诊断很困难。近年来，尽管可用的结果很少，但使用分形方法的图像和时间序列分析显示出作为监测晶体生长的替代方案的潜力。在这项工作中，多重分形去趋势波动分析 (MF-DFA) 应用于从实验室规模的蔗糖结晶在不同操作条件下获得的温度时间序列。MF-DFA 反映了结晶过程表现出与潜在现象的动态行为相关的多重分形特性。因此，多重分形分析可以确定操作变化如何影响晶体生长和形成的晶体质量。

更新日期：2021-10-20

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