Integrating the root cause analysis to machine learning interpretation for predicting future failure

The research proposes a new model for evaluating offshore pipelines due to corrosion. The existing inspection method has an inherent limitation in reusing the primary root cause analysis data to forecast the potential loss and corrosion mitigation, particularly in the scope of data utilization. The...

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Detalles Bibliográficos
Autores principales: Aditiyawarman, Taufik, Soedarsono, Johny Wahyuadi, Setiawan Kaban, Agus Paul, Suryadi, Rahmadani, Haryo, Riastuti, Rini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10300331/
https://www.ncbi.nlm.nih.gov/pubmed/37389040
http://dx.doi.org/10.1016/j.heliyon.2023.e16946

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10300331/
https://www.ncbi.nlm.nih.gov/pubmed/37389040
http://dx.doi.org/10.1016/j.heliyon.2023.e16946

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