The Predication of the Adhesion Rate Based on NARX Model

Yang Zhao; Jun Fang Li; Qiang Gao

doi:10.4028/www.scientific.net/AMM.687-691.1346

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691The Predication of the Adhesion Rate Based on NARX...

The Predication of the Adhesion Rate Based on NARX Model

Abstract:

The scaling and corrosion of circulating cooling water have been a major concern in industry circulating cooling water system, severely affecting the production operation of the circulating cooling water system. In this paper, the circulating cooling water quality is investigated and analyzed. In addition, based on the water quality analysis of Petrochemical Industries Co, it is indicated that part of water quality parameters have great influence on the adhesion rate. In order to further forecast the adhesion rate, a NARX neural network prediction model is developed. Finally, the actual data sets are utilized to demonstrate the feasibility of proposed model.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

1346-1349

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.1346

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Online since:

November 2014

Authors:

Yang Zhao*, Jun Fang Li, Qiang Gao

Keywords:

Adhesion Rate, Circulating Cooling Water, NARX, Prediction Model

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* - Corresponding Author

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