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...

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Detalles Bibliográficos
Autores principales: Xie, Mingjiang, Li, Zishuo, Zhao, Jianli, Pei, Xianjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8705578/
https://www.ncbi.nlm.nih.gov/pubmed/34945417
http://dx.doi.org/10.3390/mi12121568

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