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Analysis of machine learning models and data sources to forecast burst pressure of petroleum corroded pipelines: A comprehensive review

Afzal Ahmed Soomro, Ainul Akmar Mokhtar, Hilmi Hussin, Najeebullah Lashari, Temidayo Lekan Oladosu, Syed Muslim Jameel, Muddasser Inayat

2023Engineering Failure Analysis50 citationsDOIOpen Access PDF

Topics & Concepts

OverfittingSupport vector machineMachine learningArtificial neural networkArtificial intelligenceRandom forestComputer scienceGeneralizationPipeline transportData miningEngineeringMechanical engineeringMathematicsMathematical analysisStructural Integrity and Reliability AnalysisCorrosion Behavior and InhibitionInfrastructure Maintenance and Monitoring
Analysis of machine learning models and data sources to forecast burst pressure of petroleum corroded pipelines: A comprehensive review | Litcius