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Availability phase estimation in gas turbine based on prognostic system modeling
Boulanouar Saadat 1  
,   Abdellah Kouzou 1  
,   Mouloud Guemana 2  
,   Ahmed Hafaifa 3  
 
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1
Applied Automation and Industrial Diagnostics Laboratory, Faculty of Science and Technology, University of Djelfa 17000 DZ, Algeria
2
Faculty of Science and Technology, University of Medea, 26000, Algeria
3
Applied Automation and Industrial Diagnostics Laboratory, Faculty of Science and Technology, University of Djelfa
CORRESPONDING AUTHOR
Ahmed Hafaifa   

Applied Automation and Industrial Diagnostics Laboratory, Faculty of Science and Technology, University of Djelfa, Djelfa 17000 DZ, Algeria., 17000 Dz Djelfa, Algeria
Submission date: 2017-01-05
Final revision date: 2017-02-25
Acceptance date: 2017-03-24
Publication date: 2017-06-21
 
Diagnostyka 2017;18(2):3–11
 
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ABSTRACT
The present paper deals mainly with the improvement of the degradation indicators of a gas turbine. Therefore, to achieve this purpose a prognostic approach is used in order to provide an adequate diagnostic function of the studied gas turbine. In this context, this paper proposes a degradation modeling of the studied gas turbine system in order to increase its safety and to ensure accurate future decision making process that allow to enhance the operating state of this industrial equipment. Indeed, the prognostic system proposed in this work takes into account the eventual vibration impacts over all phases of the life cycle process of the studied system to provide a diagnostic function with the required availability at with lowest maintenance cost.
eISSN:2449-5220
ISSN:1641-6414