A Prognostics Method Based on Back Propagation Neural Network for Corroded Pipelines

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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Bibliographic Details
Main Authors: Mingjiang Xie, Zishuo Li, Jianli Zhao, Xianjun Pei
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Micromachines
Subjects:
pipeline corrosion
BP neural network
uncertainty
corrosion growth model
Online Access:https://www.mdpi.com/2072-666X/12/12/1568

Internet

https://www.mdpi.com/2072-666X/12/12/1568

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