A deep learning framework integrating Transformer and LSTM architectures for pipeline corrosion rate forecasting
Jianxun Jiang, Xinli Wan, Feng Zhu, Duole Xiang, Zhichao Hu, Shuxing Mu
Topics & Concepts
TransformerPipeline (software)CorrosionArtificial intelligenceDeep learningComputer scienceMachine learningPetroleum engineeringComputer architectureEngineeringMaterials scienceElectrical engineeringMetallurgyProgramming languageVoltageStructural Integrity and Reliability AnalysisNon-Destructive Testing TechniquesMaterial Properties and Failure Mechanisms