A Feature Selection–Based Intelligent Framework for Predicting Maximum Depth of Corroded Pipeline Defects | Journal of Performance of Constructed Facilities | Vol 36, No 5
AbstractCorrosion is one of the most common defects of buried pipelines. Accurate prediction of the maximum pitting depth of corroded pipelines is conducive to assessing the remaining strength of the…