电极极化阻抗型流量计的神经网络标定

2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC) Pub Date : 1900-01-01 DOI:10.1109/CIEC.2016.7513807

S. Sinha, N. Mandal, S. C. Bera

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引用次数: 2

摘要

在电极极化阻抗型流量计中，电导率系数与流量计输出电压之间呈非线性关系。本文主要研究了利用人工神经网络对电极极化阻抗型流量计进行非线性定标。详细讨论了电极极化阻抗式流量计的工作原理和标定方法。试验结果表明，该标定方法是有效的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Calibration of electrode polarization impedance type flow meter using neural network

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.

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2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)

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