Fast and accurate prediction of failure pressure of oil and gas defective pipelines using the deep learning model
Yue Su, Jingfa Li, Bo Yu, Yanlin Zhao, Jun Yao
Topics & Concepts
Pipeline transportArtificial neural networkPipeline (software)Finite element methodReliability (semiconductor)ResidualProcess (computing)EngineeringDeep learningTest dataArtificial intelligenceComputer scienceReliability engineeringStructural engineeringMechanical engineeringAlgorithmOperating systemSoftware engineeringPhysicsQuantum mechanicsPower (physics)Structural Integrity and Reliability AnalysisNon-Destructive Testing TechniquesMaterial Properties and Failure Mechanisms