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- W4207035990 abstract "The study of methodologies for the effective monitoring of structural damage and leaks in oil and gas pipelines has been a relevant topic in recent years due to the importance of avoiding fatalities, environmental disasters, and economic losses. In this context, the present study aims at developing a deep learning-based framework for estimating the severity of corrosion-like defects in pipelines. The dataset used in this work was generated by finite element simulation of a simple cylinder with different defect depths. The simulation was carried out with the commercial software On-scale™. In this way, 100 samples were obtained representing diverse structural conditions. A Convolutional Neural Network (CNN) architecture based on LeNet-5 was proposed to address the problem. This architecture was trained and tested 100 times with a Monte Carlo Cross-Validation procedure. Results show that the proposed architecture achieved good performance, with mean RMSE and R2 of 0.4448 and 0.9637, respectively." @default.
- W4207035990 created "2022-01-26" @default.
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- W4207035990 date "2021-12-05" @default.
- W4207035990 modified "2023-10-16" @default.
- W4207035990 title "Corrosion-like Defect Severity Estimation in Pipelines Using Convolutional Neural Networks" @default.
- W4207035990 doi "https://doi.org/10.1109/ssci50451.2021.9659884" @default.
- W4207035990 hasPublicationYear "2021" @default.
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