Assessment of the Condition of Pipelines Using Convolutional Neural Networks

Assessment of the Condition of Pipelines Using Convolutional Neural Networks

Pipelines are structural elements of many systems. For example, they are used in water supply and heat supply systems, in chemical production facilities, aircraft manufacturing, and in the oil and gas industry. Accidents in piping systems result in significant economic damage. An important factor fo...

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Bibliographic Details
Main Authors: Yuri Vankov, Aleksey Rumyantsev, Shamil Ziganshin, Tatyana Politova, Rinat Minyazev, Ayrat Zagretdinov
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Energies
Subjects:
pipelines
defect
diagnostics
convolutional neural network
binary classification
computational experiment
Online Access:https://www.mdpi.com/1996-1073/13/3/618

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https://www.mdpi.com/1996-1073/13/3/618

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