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A Prognostics Method Based on Back Propagation Neural Network for Corroded Pipelines
A method that employs the back propagation (BP) neural network is used to predict the growth of corrosion defect in pipelines. This method considers more diversified parameters that affect the pipeline’s corrosion rate, including pipe parameters, service life, corrosion type, corrosion location, cor...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8705578/ https://www.ncbi.nlm.nih.gov/pubmed/34945417 http://dx.doi.org/10.3390/mi12121568 |