Big Data Approach Application for Steel Pipelines in the Conditions of Corrosion Fatigue
This paper presents results of the use of Big Data approach and neural network for the pipelines diagnosis problem. In this case the pipeline is in the conditions of crack growth of corrosion fatigue and exposed to hydrogen. It is proposed to use graphene protective coatings. The mathematical model...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Sumy State University
2018-11-01
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Series: | Журнал інженерних наук |
Subjects: | |
Online Access: | http://jes.sumdu.edu.ua/?page_id=27291 |