| BP网络在阻抗式原油含水率测量仪中的应用 |
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| 引用本文： | 黄家才,李宏胜,滕福林,刘毅.BP网络在阻抗式原油含水率测量仪中的应用[J].仪表技术与传感器,2011(12). |
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| 作者姓名： | 黄家才 李宏胜 滕福林 刘毅 |
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| 作者单位： | 南京工程学院自动化学院,江苏南京,211167 |
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| 摘 要： | 阻抗法测原油含水率时,测量结果受温度影响很大.由于含水率与温度之间具有复杂的非线性关系,因此很难建立精确的温度补偿模型.针对该问题,建立一个BP神经网络模型,并将其用于原油含水率的测量.现场实验表明:当温度变化时,该方法提高了原油含水率的测量精度,具有一定推广价值.
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| 关 键 词： | 原油 含水率 BP神经网络 阻抗传感器 温度补偿 |
Application of BP Network in Impedance Crude Oil Watercut Meter |
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| HUANG Jia-cai
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LI Hong-sheng
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TENG Fu-lin
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LIU Yi.Application of BP Network in Impedance Crude Oil Watercut Meter[J].Instrument Technique and Sensor,2011(12). |
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| Authors: | HUANG Jia-cai LI Hong-sheng TENG Fu-lin LIU Yi |
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| Affiliation: | HUANG Jia-cai,LI Hong-sheng,TENG Fu-lin,LIU Yi(School of Automation,Nanjing Institute of Technology,Nanjing 211167,China) |
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| Abstract: | In impedance crude oil watercut measuring,the result is impacted greatly by the temperature,and it is hard to describe the precise model for temperature compensation,because of the complex nonlinear relation between the watercut and the temperature.To solve the above problem,a BP artificial neural networks model was established and used in the crude oil watercut measuring.The practical experiments show that the method is effective and increases the measuring precision. |
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| Keywords: | crude oil watercut BP neural network impedance sensor temperature compensation |
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