Quantitative Identification of Pipeline Crack Based on BP Neural Network
| Autor: | Liu, Shu Jun, Li, Sheng Lin, Jiang, Ming, He, Dean |
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| Zdroj: | Key Engineering Materials; June 2017, Vol. 737 Issue: 1 p477-480, 4p |
| Abstrakt: | In the paper, the Metal Magnetic Memory Testing signal of pipeline crack is extracted. The BP neural network is constructed and trained. The experiment shows that the BP neural network can effectively identify the crack parameters of oil and gas pipeline in quantitative. |
| Databáze: | Supplemental Index |
| Externí odkaz: |
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