2016
DOI: 10.1007/s13198-016-0480-9
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Exploration of reliability algorithms using modified Weibull distribution: application on gas turbine

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Cited by 21 publications
(17 citation statements)
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“…Depending on the availability of data, the MLE is preferred, however, it is generally considered difficult to apply as it involves numerical iteration for parameter estimations . Conventional method to estimate Weibull parameters is to plot failure data on Weibull probability paper . In the current study, both MLE and LSM are employed, and comparison is made based on the performance measure of the root mean square error (RMSE).…”
Section: Methodsmentioning
confidence: 99%
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“…Depending on the availability of data, the MLE is preferred, however, it is generally considered difficult to apply as it involves numerical iteration for parameter estimations . Conventional method to estimate Weibull parameters is to plot failure data on Weibull probability paper . In the current study, both MLE and LSM are employed, and comparison is made based on the performance measure of the root mean square error (RMSE).…”
Section: Methodsmentioning
confidence: 99%
“…In addition, based on historical failure data of gas turbines, maintenance plans can be modified to attain better reliability and availability. However, considering the economical aspect, reliability for industrial plant has now become a major challenge . The increased focus on reliability and maintenance to reduce cost has driven the modeling and analysis of repairable systems .…”
Section: Introductionmentioning
confidence: 99%
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“…Gas turbines are the most important pivotal rotating machines belonging to the family of internal combustion engines that are used intensively in oil and gas industrial plants. Indeed, it is used to achieve the main function of generating mechanical energy in form of shaft rotation from kinetic energy of gases produced in the combustion chamber (Djaidir et al, 2015(Djaidir et al, , 2016Djeddi et al, 2015Djeddi et al, , 2016Eshati et al, 2013;Jurado and Carpio, 2006;Kim et al, 2011). However, these machines are subject to some phenomena inducing important vibrations that can be very critical to their mechanical state.…”
Section: Introductionmentioning
confidence: 99%