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Machine-Learning-Based Classification for Pipeline Corrosion with Monte Carlo Probabilistic Analysis

Pipeline corrosion is one of the leading causes of failures in the transmission of gas and hazardous liquids in the oil and gas industry. In-line inspection is a non-destructive inspection for detecting corrosion defects in pipelines. Defects are measured in terms of their width, length and depth. C...

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Bibliografiske detaljer
Principais autores: Mohd Fadly Hisham Ismail, Zazilah May, Vijanth Sagayan Asirvadam, Nazrul Anuar Nayan
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2023-04-01
Serier:Energies
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Online adgang:https://www.mdpi.com/1996-1073/16/8/3589
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