Use BP Neural Network Set up the Corrosion Prediction Model of Low Temperature Parts of Atmospheric Pressure Device

Yu Guang Fan; Zai Dong Piao; Bing Chen; Hong Xian Lin; Yang Yang

doi:10.4028/www.scientific.net/AMM.152-154.1138

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 152-154Use BP Neural Network Set up the Corrosion...

Use BP Neural Network Set up the Corrosion Prediction Model of Low Temperature Parts of Atmospheric Pressure Device

Abstract:

In research of the low temperature parts of atmospheric pressure device, by using BP neural network, the connection of PH value, Cl^-, H²S and Fe⁺² was setup which can predict Fe⁺² content accurately, and obtain the requirement accuracy, hence more accurate corrosion can be predicted and providing more suggests for corrosion protection.

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Periodical:

Applied Mechanics and Materials (Volumes 152-154)

Pages:

1138-1142

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.152-154.1138

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Online since:

January 2012

Authors:

Yu Guang Fan, Zai Dong Piao, Bing Chen, Hong Xian Lin, Yang Yang

Keywords:

Atmospheric Pressure Device, Corrosion, Neural Network (NN), Predict

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References

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DOI: 10.47939/et.v3i4(07).23

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[3] Y. Yang. The research of atmospheric tower corrosion information fusion technology (MS., Xi'an Shiyou University, China 2011), p.22. (In Chinese).

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