A Combined Semi-Supervised Deep Learning Method for Oil Leak Detection in Pipelines Using IIoT at the Edge

Pipelines are integral components for storing and transporting liquid and gaseous petroleum products. Despite being durable structures, ruptures can still occur, resulting not only in financial losses and energy waste but, most importantly, in immeasurable environmental disasters and possibly in hum...

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Detalles Bibliográficos
Autores principales: Spandonidis, Christos, Theodoropoulos, Panayiotis, Giannopoulos, Fotis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185534/
https://www.ncbi.nlm.nih.gov/pubmed/35684726
http://dx.doi.org/10.3390/s22114105

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185534/
https://www.ncbi.nlm.nih.gov/pubmed/35684726
http://dx.doi.org/10.3390/s22114105

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