Sensor-Data-Driven Prognosis Approach of Liquefied Natural Gas Satellite Plant

Sensor-Data-Driven Prognosis Approach of Liquefied Natural Gas Satellite Plant

This paper proposes a sensor-data-driven prognosis approach for the predictive maintenance of a liquefied natural gas (LNG) satellite plant. By using data analytics of sensors installed in the satellite plants, it is possible to predict the remaining time to refill the tank of the remote plants. In...

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Bibliographic Details
Main Authors: Antoni Escobet, Teresa Escobet, Joseba Quevedo, Adoración Molina
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Applied System Innovation
Subjects:
energy management
data analytics
LNG satellite plants
predicting LNG consumption
fault detection
Online Access:https://www.mdpi.com/2571-5577/3/3/34

Internet

https://www.mdpi.com/2571-5577/3/3/34

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