AI-Assisted CO2 Corrosion Forecasting Method for Pipeline Integrity Monitoring System
Author:
Affiliation:
1. IT-Service LLC,Samara,Russia
2. IT-Service LLC, Samara National Research University,Samara,Russia
3. IT-Service LLC, ITMO University,Samara,Russia
4. Achimgaz JSC,Novy Urengoy,Russia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10582295/10582284/10582289.pdf?arnumber=10582289
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1. Detection of surface defects in welded joints during visual inspections using machine vision methods
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4. Interpretable machine learning for maximum corrosion depth and influence factor analysis
5. A Feed-Forward Back Propagation Neural Network Approach to Predict the Life Condition of Crude Oil Pipeline
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