|
| Research on Analysis Methods for Corrosion Damage of LD2CS Aluminum Alloy in Accelerated Corrosion Environment |
| Received:July 24, 2014 Revised:December 15, 2014 |
| View Full Text View/Add Comment Download reader |
| DOI：10. 7643 / issn. 1672-9242. 2014. 06. 019 |
| KeyWord:aluminum alloy pit depths data analysis comparative research |
| Author | Institution |
| YAN Guang-yao |
Qingdao Branch of Naval Aeronautical Academy, Qingdao , China |
| LIU Zhi-guo |
Qingdao Branch of Naval Aeronautical Academy, Qingdao , China |
|
| Hits: |
| Download times: |
| Abstract: |
| Objective To study analysis methods for corrosion damage data of LD2CS aluminum alloy. Methods Three forecasting models were used to conduct regression and prediction analysis, targeting at the corrosion pit depths of LD2CS aluminum alloy structural material, which were LS-SVM, BP-ANN and ARIMA. Basic forecasting principles and forecast accuracy of the three prediction methods were compared and analyzed. Results The calculation results showed that the prediction accuracy and the prediction extensionality of LS-SVM were better than those of the other models for the prediction of corrosion pit depths of LD2CS aluminum alloy. Conclusion LS-SVM was the most suitable model for prediction of corrosion pit depths of LD2CS aluminum alloy. |
| Close |