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• W4328105415 endingPage "109265" @default.
• W4328105415 startingPage "109265" @default.
• W4328105415 abstract "Reliability of a fleet of nominally identical repairable systems is usually modeled by a failure point process with a mean cumulative function (MCF). It is found that the Nelson estimator of MCF is not robust in the right tail of the function when the systems have different censoring times. Since the systems often operate in different use conditions and environments, the reliability characteristics of individual systems are different. That is, the fleet can be heterogeneous. The existing methods to model the heterogeneity are population-oriented and involve too many model parameters. As a result, most of existing reliability models do not consider the heterogeneity. This can result in large uncertainties in reliability prediction and maintenance decision. This paper aims to address these issues. The concept of fleet equivalent operating time is introduced and a robust MCF estimator is proposed; a measure is developed for evaluating the fleet's heterogeneity; an overhaul policy with two control limits is defined, a non-parametric objective function is developed and a curve-fitting approach is proposed to obtain optimal policy parameters. Four examples are included to illustrate the proposed methods and their appropriateness." @default.
• W4328105415 created "2023-03-22" @default.
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• W4328105415 date "2023-08-01" @default.
• W4328105415 modified "2023-10-18" @default.
• W4328105415 title "A robust mean cumulative function estimator and its application to overhaul time optimization for a fleet of heterogeneous repairable systems" @default.
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• W4328105415 doi "https://doi.org/10.1016/j.ress.2023.109265" @default.
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