Increasing the Efficiency of a Control System for Detecting the Type and Amount of Oil Product Passing through Pipelines Based on Gamma-Ray Attenuation, Time Domain Feature Extraction, and Artificial Neural Networks

Instantaneously determining the type and amount of oil product passing through pipelines is one of the most critical operations in the oil, polymer and petrochemical industries. In this research, a detection system is proposed in order to monitor oil pipelines. The system uses a dual-energy gamma so...

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Detalles Bibliográficos
Autores principales: Mayet, Abdulilah Mohammad, Alizadeh, Seyed Mehdi, Kakarash, Zana Azeez, Al-Qahtani, Ali Awadh, Alanazi, Abdullah K., Grimaldo Guerrero, John William, Alhashimi, Hala H., Eftekhari-Zadeh, Ehsan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319693/
https://www.ncbi.nlm.nih.gov/pubmed/35890628
http://dx.doi.org/10.3390/polym14142852

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319693/
https://www.ncbi.nlm.nih.gov/pubmed/35890628
http://dx.doi.org/10.3390/polym14142852

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