A Soft Sensor Model Based on Rough Set Theory and Its Application in Estimation of Oxygen Concentration

机译：基于粗糙集理论的软传感器模型及其在氧气浓度估计中的应用

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At present, much more research in the field of soft sensor modeling is concerned. In the process of establishing soft sensor models, how to select the secondary variables is still an unresolved question. In this paper, rough set theory is used to select the secondary variables from the initial sample data. This method is used to build the soft sensor model to estimate the oxygen concentration in a regeneration tower and the good result is obtained.

机译：目前，涉及软传感器建模领域的更多研究。在建立软传感器模型的过程中，如何选择次要变量仍然是一个未解决的问题。在本文中，粗糙集理论用于从初始示例数据中选择次要变量。该方法用于构建软传感器模型以估计再生塔中的氧浓度，并获得良好的结果。

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《International Conference on Fuzzy Systems and Knowledge Discovery》|2005年||共6页
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Xingsheng Gu; Dazhong Sun;
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中图分类专家系统、知识工程;
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A Soft Sensor Model Based on Rough Set Theory and Its Application in Estimation of Oxygen Concentration

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