【摘要】 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更多还原

【Abstract】 This paper introduces the method to identify two phase flow regimes using rough set and electrical capacitance tomography (ECT) The rough set theory offers a viable identification approach for the reduction of attributes and extraction of classification rules from data sets based on characteristics of capacitance signal The decision rules are simpler so that it is suitable for on line measurement The results of experiment have shown that regime recognition rates of this method are higher The effective means is presented for two phase flow regime identification更多还原