Lifetime Prediction Using a Tribology-Aware, Deep Learning-Based Digital Twin of Ball Bearing-Like Tribosystems in Oil and Gas

Lifetime Prediction Using a Tribology-Aware, Deep Learning-Based Digital Twin of Ball Bearing-Like Tribosystems in Oil and Gas

The recent decline in crude oil prices due to global competition and COVID-19-related demand issues has highlighted the need for the efficient operation of an oil and gas plant. One such avenue is accurate predictions about the remaining useful life (RUL) of components used in oil and gas plants. A...

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Bibliographic Details
Main Authors: Prathamesh S. Desai, Victoria Granja, C. Fred Higgs
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Processes
Subjects:
oil and gas
lubricant extreme pressure performance
deep learning
digital twin
automated maintenance
lifetime prediction
Online Access:https://www.mdpi.com/2227-9717/9/6/922

Internet

https://www.mdpi.com/2227-9717/9/6/922

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