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...

Полное описание

Библиографические подробности

Главные авторы:	Mingjiang Xie, Zishuo Li, Jianli Zhao, Xianjun Pei
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2021-12-01
Серии:	Micromachines
Предметы:	pipeline corrosion BP neural network uncertainty corrosion growth model
Online-ссылка:	https://www.mdpi.com/2072-666X/12/12/1568
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!