An interpretable machine learning-based pitting corrosion depth prediction model for steel drinking water pipelines
Taehyeon Kim, Kibum Kim, Jinseok Hyung, Haekeum Park, Yoo Jin Oh, Ja-Yong Koo
Topics & Concepts
CorrosionPitting corrosionPipeline transportMachine learningArtificial intelligenceEngineeringComputer scienceMarine engineeringMetallurgyMaterials scienceMechanical engineeringInfrastructure Maintenance and MonitoringWater Systems and OptimizationStructural Integrity and Reliability Analysis