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本文提出了一种基于粗糙集理论和电容层析成像系统辨识两相流流型的新方法。该法通过对极板电容测量数据进行属性分析 ,然后根据粗糙集理论化简属性 ,最后根据分类规则进行流型辨识。本流型辨识方法决策规则简单适合在线测量。仿真结果表明 :此方法在两相流流型辨识中具有较高的判别精度。也为两相流流型提供了一种有效的手段
This paper presents a new method based on rough set theory and capacitive tomography system for identifying two-phase flow patterns. The method analyzes the capacitance data of the plate by attribute analysis, and then simplifies the property according to rough set theory, and finally identifies the flow pattern according to the classification rules. The flow pattern identification method decision rules are simple and suitable for online measurement. The simulation results show that this method has high discrimination accuracy in the identification of two-phase flow patterns. It also provides an effective means for two-phase flow pattern