Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)

Application of Artificial Neural Networks on Predicting Corrosion Rates of Carbon Steel in Taiwan Industrial Zones

Authors
Hsiang-Teng Lin, Chien-Ming Lo, Min-Der Lin
Corresponding Author
Hsiang-Teng Lin
Available Online March 2017.
DOI
https://doi.org/10.2991/msam-17.2017.63How to use a DOI?
Keywords
atmospheric corrosion; artificial neural network; carbon steel
Abstract
This study employed artificial neural network (ANN) to develop a regional forecasting model to predict atmospheric corrosion rates of carbon steels within general industrial zones and coastal industrial zones in Taiwan. Analyzed data are based on the results of metal atmospheric corrosion rates monitoring project executed by The Institute of Harbor & Marine Technology Center in Taiwan. The result shows that sulfur dioxide deposition is the most significant factor to impact carbon steel corrosion rate in general industrial zones. However, for coastal industrial zones both sulfur dioxide deposition and chloride deposition are significant factors. The results reveal that the corrosion rates predicted by ANN have the most accurate performance. Furthermore, duplicating the extreme values of training set data of ANN can reduce the errors of corrosion rates' prediction. As for corrosion classification category predictions, the results show that ANN can accurately predict the cases for coastal industrial zones, but there are up to 24% of misjudgments for cases of general industrial zones.
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Proceedings
2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2017
ISBN
978-94-6252-324-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/msam-17.2017.63How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hsiang-Teng Lin
AU  - Chien-Ming Lo
AU  - Min-Der Lin
PY  - 2017/03
DA  - 2017/03
TI  - Application of Artificial Neural Networks on Predicting Corrosion Rates of Carbon Steel in Taiwan Industrial Zones
BT  - 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)
PB  - Atlantis Press
SP  - 278
EP  - 282
SN  - 1951-6851
UR  - https://doi.org/10.2991/msam-17.2017.63
DO  - https://doi.org/10.2991/msam-17.2017.63
ID  - Lin2017/03
ER  -