| 基于神经网络和D-S证据理论辨识两相流流型 |
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| 引用本文： | 吴新杰,刘石,许超.基于神经网络和D-S证据理论辨识两相流流型[J].传感器与微系统,2009,28(11). |
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| 作者姓名： | 吴新杰 刘石 许超 |
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| 作者单位： | 1. 辽宁大学物理学院,辽宁,沈阳,110036
2. 华北电力大学能源与动力工程学院,北京,102206 |
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| 摘 要： | 提出一种基于电容层析成像(ECT)系统、神经网络和证据理论辨识两相流流型的方法。这种方法采用神经网络与D-S证据理论相结合的方法来辨识两相流流型,并对两相流的几种常见流型进行了辨识。仿真实验结果表明:此种方法在两相流流型辨识中具有较高的判别精度,为两相流流型辨识提供了一种有效的手段。
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| 关 键 词： | 电容层析成像 神经网络 D-S证据理论 流型辨识 |
Two-phase flow pattern identification based on neural networks and D-S evidence theory |
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| WU Xin-jie,LIU Shi,XU Chao.Two-phase flow pattern identification based on neural networks and D-S evidence theory[J].Transducer and Microsystem Technology,2009,28(11). |
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| Authors: | WU Xin-jie LIU Shi XU Chao |
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| Affiliation: | WU Xin-jie1,LIU Shi2,XU Chao1(1.School of Physics,Liaoning University,Shenyang 110036,China,2.School of Energy & Power Engineering,North China Electric Power University,Beijing 102206,China) |
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| Abstract: | A new method of two-phase flow pattern identification based on electrical capacitance tomography(ECT)system,neural networks and D-S evidence theory is proposed.The identification system is built for identifying a few familiar flow patterns of two-phase flow,by using neural networks and D-S evidence theory.The simulation experimental results show that the method can accurately identification flow patterns of two-phase flow.An effective means is presented for flow patterns identification. |
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| Keywords: | electrical capacitance tomography(ECT) neural networks D-S evidence theory flow pattern identifiCation |
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