Gas turbine reliability estimation to reduce the risk of failure occurrence with a comparative study between the two-parameter Weibull distribution and a new modified Weibull distribution
 
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1
Gas Turbine Joint Research Team, University of Djelfa
 
2
Applied Automation and Industrial Diagnostics Laboratory, Faculty of Science and Technology, University of Djelfa 17000 DZ, Algeria
 
3
Faculty of Science and Technology, University of Bordj Bou Arreridj, 34030 DZ, Algeria
 
 
Submission date: 2021-08-29
 
 
Final revision date: 2021-11-03
 
 
Acceptance date: 2022-01-29
 
 
Online publication date: 2022-02-10
 
 
Publication date: 2022-02-10
 
 
Corresponding author
Djeddi Ahmed Zohair   

Gas Turbine Joint Research Team, University of Djelfa
 
 
Diagnostyka 2022;23(1):2022107
 
KEYWORDS
TOPICS
ABSTRACT
Responding to the needs of quality and robustness of analysis and management of degradation of equipment, to increase their life cycle and to expand these facilities to become more and more sophisticated and agronomic. This work proposes a contribution to increase the survival of a gas turbine, installed in a gas-compression plant, with a comparative study between the two-parameter Weibull distribution. A new modified Weibull distribution was proposed also to reduce the risk of occurrence of failure in this rotating machine. A Statistical analysis and validation on the synthesis of turbine's reliability data and failures were considered, with a particular focus on the use of this data to increase the availability of this type of machine. So, developing a maintenance plan based on their reliability indices for scheduled inspections.
 
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