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2013 (Vol. 5, Issue: 03)
Article Information:

Application of Neural Network in the Measuring System On-line for Water Content of Crude Oil

Zengrong Zhao and Yanju Wang
Corresponding Author:  Zengrong Zhao 

Key words:  BP neural network, capacitive sensor, MATLAB simulation, temperature, water content , ,
Vol. 5 , (03): 276-279
Submitted Accepted Published
September 26, 2012 December 01, 2012 March 15, 2013

The aim of this study is to introduce a new way to measure the water content of Crude Oil. In this measurement system, capacitive sensor is used as sensitive element and BP neural network model is adopted to deal with data. Water content and temperature are used as input parameters to set up BP neural network model. By MATLAB simulation, a moisture content of crude oil is forecasted, so that the influence comes from temperature variation is compensated and the accuracy of the measurement result is improved.
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  Cite this Reference:
Zengrong Zhao and Yanju Wang, 2013. Application of Neural Network in the Measuring System On-line for Water Content of Crude Oil.  Advance Journal of Food Science and Technology, 5(03): 276-279.
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ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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