Risk-based maintenance and remaining life assessment for gas turbines

Khalifa, Mohamed; Khan, Faisal; Thorp, Joseph

doi:10.1108/jqme-12-2012-0047

Cited by 9 publications

(16 citation statements)

References 7 publications

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“…The MTTF can be calculated by taking the reciprocal of hazard rate for all cases. Figure shows that the MTTF decreases with an increase in maintenance interval, which is supported by the work of Khalifa et al…”

Section: Resultssupporting

confidence: 79%

“…The MTTF can be calculated by taking the reciprocal of hazard rate for all cases. Figure 8 shows that the MTTF decreases with an increase in maintenance interval, which is supported by the work of Khalifa et al 22 Based on an average cost of repair for gas turbine engine, that is, $600 000, 22 the maintenance cost for different intervals is calculated using Equation (5). The results obtained clearly show that the cost associated with maintenance will increase at a higher rate for the low value of the maintenance interval for a longer run (Figure 9).…”

Section: Other Cases (Fd002 Fd003 Fd004 and Combined)supporting

confidence: 79%

“…Based on an average cost of repair for gas turbine engine, that is, $600 000, the maintenance cost for different intervals is calculated using Equation . The results obtained clearly show that the cost associated with maintenance will increase at a higher rate for the low value of the maintenance interval for a longer run (Figure ).…”

Section: Resultsmentioning

confidence: 99%

“…Unfortunately, due to less priority given to effective maintenance in many industries, consequent failure cost has risen supporting the need to move from repair‐focused to reliability‐focused maintenance . The decision regarding maintenance interval can be taken based on average maintenance cost using Equation as proposed by Khalifa et al The mean time to failure can be calculated by taking reciprocal of the hazard rate:

C_{maintenance} = \frac{C_{r} . t}{T}

where C r is the average maintenance cost, t is the time, and T is the maintenance interval.…”

Section: Methodsmentioning

confidence: 99%

“…Khalifa et al proposed a quantitative model for risk‐based maintenance and remaining useful life assessment focusing on aging gas turbine. The model helps in optimum decision‐making based on total risk using historical data to manage the integrity of gas turbine.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Reliability analysis of gas turbine engine by means of bathtub‐shaped failure rate distribution

Ahsan

Lemma

Asmelash

2019

Process Safety Progress

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During reliability analysis, analysts often encounter multiple repairable units operating in different environments for various applications such as marine, power generation, and propulsion. Thus, a reliability approach that accounts for varying operating conditions is invaluable to ensure system availability. Therefore, fault probability described by some characteristic parameters and their accurate estimation has been a vital task for understanding system's behavior. The time between failures is utilized to estimate Weibull parameters that define the system. The application of gas turbine is presented as a case study. Five different cases are discussed based on distinct operating conditions and faults. The results obtained demonstrate the effectiveness of the proposed method for assessing operational reliability. The three‐parameter Weibull distribution was found to best fit the failure data with the root mean square error between 0.0369 and 0.0688 for maximum likelihood estimation and 0.04184 and 0.0733 for the least square method. Based on these results, it is deduced that the system under consideration is at the end of its operational life. Furthermore, it is observed that an increase in maintenance interval leads to a decline in meantime to failure, which is indicative of the need to select maintenance interval wisely. Findings from this study helps to improve the understanding of gas turbine behavior based on reliability and survival analysis.

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Section: Resultssupporting

confidence: 79%