Calibration of electrode polarization impedance type flow meter using neural network

机译：电极极化阻抗型流量计的神经网络校准

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摘要

In Electrode Polarization Impedance type Flow meter the relationship between the conductivity coefficient and the voltage output of the flow meter is nonlinear. This paper mainly focusses on nonlinear calibration of electrode polarization impedance type flow meter using Artificial Neural Network. The operation and the method of calibration of electrode polarization impedance type flow meter are discussed in detail. The testing results show that the calibration method is efficient.

机译：在电极极化阻抗型流量计中，电导率系数与流量计的电压输出之间的关系是非线性的。本文主要针对使用人工神经网络对电极极化阻抗型流量计进行非线性校准。详细讨论了电极极化阻抗型流量计的操作方法和校准方法。测试结果表明该校准方法是有效的。

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来源
《International Conference on Control, Instrumentation, Energy Communication》|2016年|64-67|共4页
会议地点 Kolkata(IN)
作者
S. Sinha; N. Mandal; S. C. Bera;
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作者单位

Department of Electronics Engineering Indian School of Mines Dhanbad India;

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关键词
Artificial Neural Network; Calibration technique; Flow meter; Non linearity; Polarization Impedance;

机译：人工神经网络;校准技术；流量计非线性；极化阻抗;

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Calibration of electrode polarization impedance type flow meter using neural network

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