Machine learning methods for predicting residual strength in corroded oil and gas steel pipes
Abstract This review examines machine learning approaches for predicting pipeline residual strength, which is crucial for assessing operational lifespan and safety in industrial applications. We analyze various machine learning models, data preprocessing methods, and evaluation metrics used in exist...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-03-01
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| Series: | npj Materials Degradation |
| Online Access: | https://doi.org/10.1038/s41529-025-00573-y |
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