Name
Abstract | ||
|---|---|---|
Safe transmission of oil pipelines is one of the guarantees of national defense and environmental protection. Magnetic flux leakage (MFL) testing is critical to the safety inspection of in-service pipelines. In the detection process, the incompleteness of MFL data affects defect location and inversion severely. This article proposes an MFL data recovery method based on multifeature condition risk,... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TASE.2020.2994659 | IEEE Transactions on Automation Science and Engineering |
Keywords | DocType | Volume |
Pipelines,Feature extraction,Data mining,Safety,Dictionaries,Magnetic flux leakage | Journal | 18 |
Issue | ISSN | Citations |
3 | 1545-5955 | 3 |
PageRank | References | Authors |
0.37 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| huaguang zhang | 1 | 505 | 39.89 |
| Lin Jiang | 2 | 3 | 0.37 |
| Jinhai Liu | 3 | 13 | 5.08 |
| Fuming Qu | 4 | 8 | 1.20 |