Analysis and prediction of pipeline corrosion defects based on data analytics of in-line inspection
Abstract In-line inspection (ILI) is important to pipeline integrity management since it can detect pipeline defects and identify potential failure locations through periodical examinations. However, effectively evaluating defects based on ILI data is challenging. Measurements of ILI are easily infl...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2023-06-01
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| Series: | Journal of Infrastructure Preservation and Resilience |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s43065-023-00081-w |