Towards next-generation NDE: predictive analysis of pipeline integrity using machine learning
Rakiba Rayhana,
Jiatong Ling,
Ling Bai
et al.
Abstract:Pipeline systems are critical infrastructure for modern economies, which serve as the essential means for transporting oil, gas, water, and other fluids. These pipelines are mostly buried underground, making their integrity highly crucial. Because they are buried, these pipelines are subject to stress and are prone to material degradation due to corrosion. Corrosion not only reduces the wall thickness of the pipes but also poses severe safety risks and can lead to catastrophic failures and substantial financia… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.