Open AccessPrediction of Submarine Pipeline Corrosion Based on the Improved Grey Prediction Model
Author(s) -
Jianfeng Gao,
Hao Bin
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1894/1/012106
Subject(s) - corrosion , pipeline transport , pipeline (software) , submarine , computer science , transformation (genetics) , engineering , marine engineering , materials science , metallurgy , mechanical engineering , biochemistry , chemistry , gene , programming language
To predict the degree of corrosion and remaining life of submarine pipelines more accurately, and to prevent pipeline leakage accidents caused by the pipeline corrosion in advance, an improved grey model that applies appropriate translation and sine transformation to the original series was established. And the initial value of the time-corresponding function was optimized when the model was solved. Compared with the two grey models mentioned in the paper, the accuracy of the improved grey model has been improved, and the stability of the model was better. The result shows that the prediction result of the improved grey model is closer to the measured value.