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Journal of Vcibration Testing and System Dynamics 4(2) (2020) 147--162 | DOI:10.5890/JVTSD.2020.06.002

Bachir Alili$^{1}$, Ahmed Hafaifa$^{2}$, Mouloud Guemana$^{3}$, Lakhdar Mazouz$^{1}$

$^{1}$ Applied Automation and Industrial Diagnostics Laboratory, Faculty of Science and Technology, University of Djelfa 17000 DZ, Algeria

$^{2}$ Applied Automation and Industrial Diagnostics Laboratory, Djelfa University, Algeria

$^{3}$ Department of Mechanical Engineering, University of Medea, 26000 DZ, Algeria

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Abstract

In the modern oil & gas industry ,specifically, in hydrocarbon transportation by pipelines, maintenance decision making for the functional availability of equipment has a major in uence on the profitability of the facilities. In this perspective, this work aims to increase the capacity to monitor the behavior of a TORNADO type gas turbine, installed at an oil pumping station in Hassi R'Mel situated in southern Algeria, with modeling the degradation actions of this machine to make the effective decisions of their maintenance. The maintenance decision support process proposed in this work is based on the concept of fuzzy logic, helps the maintenance operator to choose the most appropriate maintenance actions depending on availability, productivity and quality of the transported oil. This minimizes costs and environmental impact, by ensuring an optimal level of oil transportation, for the monitoring of examined turbine component failures with a sustainable and cost-effective maintenance strategy.

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