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Semi-supervised learning framework for oil and gas pipeline failure detection

Quantifying failure events of oil and gas pipelines in real- or near-real-time facilitates a faster and more appropriate response plan. Developing a data-driven pipeline failure assessment model, however, faces a major challenge; failure history, in the form of incident reports, suffers from limited...

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Detalles Bibliográficos
Autores principales:	Alobaidi, Mohammad H., Meguid, Mohamed A., Zayed, Tarek
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374783/ https://www.ncbi.nlm.nih.gov/pubmed/35962052 http://dx.doi.org/10.1038/s41598-022-16830-y

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