文摘
Oil and gas pipelines are subject to many types of metal-loss defects. Those defects can pose a high risk to the operational safety of the pipeline. This paper proposes a solution to detect, locate, and estimate the size of defects. The proposed solution uses pattern-adapted wavelets and artificial neural networks. The proposed solution is general and applies to a wide range of defect shapes.