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Pipeline Corrosion Pits Growth Prediction with Probabilistic Model and Artificial Neural Network
Publisher: American Society of Civil Engineers
Abstract: AbstractA scheme based on two historical in-line inspection data sets was developed to estimate
the evolution of pitting depth caused by internal corrosion in pipelines. This process
involved carefully aligning inspection ...
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