Flow Pattern Identification based on Fuzzy Neural Network Using Multi-Electrode

机译：基于多电极模糊神经网络的流型识别

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Investigation and control of flow phenomena in two-phase flow requires adetailed knowledge on the flow regimes and a number of phase flowproperties. Electrical capacitance sensor is shown here to be a robust toolfor this purpose, measured capacitance which reflect flow distribution areprocessed with fuzzy method. The inhomogeneity of sensors' sensitivitydistribution and medium distribution are fully considered, a novel methodfor flow pattern identification based on fuzzy neural network is presented.By self-organizing learning of Kohonen network and supervision learning ofBP neural network , The trained neural network has been applied toexperimental data for flow pattern identification. Through the casesinvestigated, experimental results show that it is feasible for flow patternidentification of core, annular and stratified flow.

机译：研究和控制两相流中的流现象需要有关流态和许多相流的详细知识特性。此处显示的电容传感器是一种强大的工具为此，测得的反映流量分布的电容为用模糊方法处理。传感器灵敏度的不均匀性充分考虑了分布和介质分布，这是一种新方法提出了一种基于模糊神经网络的流型识别方法。通过Kohonen网络的自组织学习和监督学习 BP神经网络，经过训练的神经网络已应用于BP神经网络。用于流型识别的实验数据。通过案例经研究，实验结果表明该流型是可行的识别核心，环形和分层流。

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《15th world conference on non-destructive testing》||p.1-6|共6页
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作者
Xia Jingbo; Yang Xiatie; Wang Shi;
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正文语种
中图分类组织检查法、非破坏性试验法;
关键词
neural network; fuzzy logic; identification; two phase flow; capacitance sensor;

机译：神经网络;模糊逻辑;识别;两相流;电容传感器;

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专利

1. The use of an ultrasonic technique and neural networks for identification of the flow pattern and measurement of the gas volume fraction in multiphase flows [J] . Figueiredo M. M. F., Goncalves J. L., Nakashima A. M. V., Experimental Thermal and Fluid Science: International Journal of Experimental Heat Transfer, Thermodynamics, and Fluid Mechanics . 2016,第Null期

机译：超声技术和神经网络在多相流中识别流型和测量气体体积分数的应用
2. Performance comparison of artificial neural networks and expert systems applied to flow pattern identification in vertical ascendant gas-liquid flows [J] . Rosa E.S., Salgado R.M., Ohishi T., International Journal of Multiphase Flow . 2010,第9期

机译：人工神经网络与专家系统在垂直上升气液流中流型识别中的性能比较
3. Flow pattern identification of horizontal two-phase refrigerant flow using neural networks [J] . Abdeel J. Roman, Paul J. Kreitzer, Jamie S. Ervin, Letters in heat and mass transfer . 2016,第Feba期

机译：利用神经网络识别水平两相制冷剂流的流型
4. Flow Pattern Identification based on Fuzzy Neural Network Using Multi-Electrode Capacitance Sensor [C] . Xia Jingbo, Yang Xiatie, Wang Shi World Conference on Non-Destructive Testing . 2000

机译：基于模糊神经网络使用多电极电容传感器的流动模式识别
5. A multi-electrode array (MEA) system for patterned neural networks. [D] . Jing, Gaoshan. 2009

机译：用于图案化神经网络的多电极阵列（MEA）系统。
6. Gas–Solid Two-Phase Flow Pattern Identification Based on Artificial Neural Network and Electrostatic Sensor Array [O] . Fei-fei Fu, Jian Li 2018

机译：基于人工神经网络和静电传感器阵列的气固两相流模式识别
7. Towards a multi-electrode array (MEA) system for patterned neural networks [O] . Jing Gaoshan, Yao Yi, Gnerlich Markus, 2009

机译：面向用于模式神经网络的多电极阵列（MEA）系统

Flow Pattern Identification based on Fuzzy Neural Network Using Multi-Electrode

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