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Risk-based maintenance and remaining life assessment for gas turbines

Citation

Khalifa, M and Khan, FI and Thorp, J, Risk-based maintenance and remaining life assessment for gas turbines, Journal of Quality in Maintenance Engineering, 21, (1) pp. 100-111. ISSN 1355-2511 (2015) [Refereed Article]

Copyright Statement

Emerald Group Publishing Limited 2015

DOI: doi:10.1108/JQME-12-2012-0047

Abstract

Purpose-The purpose of this paper is to propose a quantitative model for risk-based maintenance and remaining life assessment for gas turbines.

Design/methodology/approach-The proposed model uses historical failure and repair data from the operation of gas turbines. The time to failure of gas turbines is modeled using Weibull distribution.

Findings-The total risk is estimated considering replacement cost, repair cost, operation cost, risk of failure and turbine remaining value after a specified period of time.

Originality/value-The model is an effective tool to make optimal decisions regarding maintenance strategy (repair or replacement) and to assess the remaining life based on a comparison of the total risk. The literature review focusses on developing different models to make risk-based decisions regarding the selection of a maintenance strategy and maintenance interval, however, literature is silent regarding risk-based assessment of the equipment remaining life, which is the focus of present work. The model is tested and applied to ageing gas turbines in a cross-country pipeline.

Item Details

Item Type:Refereed Article
Keywords:gas turbines, remaining life, repair, replacement, risk of failure, costs, gas turbines, gases, maintenance, risk assessment, risk perception, Weibull distribution, cross country pipelines, maintenance strategies, remaining life, replacement, repair
Research Division:Engineering
Research Group:Interdisciplinary Engineering
Research Field:Risk Engineering (excl. Earthquake Engineering)
Objective Division:Energy
Objective Group:Energy Transformation
Objective Field:Transformation of Gas into Electricity
Author:Khan, FI (Professor Faisal Khan)
ID Code:120685
Year Published:2015
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2017-08-30
Last Modified:2017-11-03
Downloads:0

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