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基于粗糙集理论两相流流型辨识方法研究
引用本文:吴新杰,王师,王凤翔.基于粗糙集理论两相流流型辨识方法研究[J].仪器仪表学报,2003,24(3):221-225.
作者姓名:吴新杰  王师  王凤翔
作者单位:1. 辽宁大学物理系,沈阳,110036;沈阳工业大学电气工程学院,沈阳,110023
2. 东北大学信息科学与工程学院,沈阳,110006
3. 沈阳工业大学电气工程学院,沈阳,110023
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。

关 键 词:两相流  电容传感器  流型辨识  粗糙集  电容层析成像

The Study on Identification of Two-phase Flow Regimes Based on Rough Set
Wu Xinjie , Wang Shi Wang Fengxiang.The Study on Identification of Two-phase Flow Regimes Based on Rough Set[J].Chinese Journal of Scientific Instrument,2003,24(3):221-225.
Authors:Wu Xinjie  Wang Shi Wang Fengxiang
Affiliation:Wu Xinjie 1,3 Wang Shi 2 Wang Fengxiang 3 1
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
Keywords:Two  phase flow  Electrical capacitance sensor  Rough set  Identification of flow regimes
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