Prediction of MTTF of Rotary Microcryogenic Gas Machines (Microcryocoolers) based on the Weibull Distribution Law
И. А. Архаров, E. S. Navasardyan, N. E. Shishova
Abstract
И. А. Архаров, E. S. Navasardyan, N. E. Shishova
Abstract
In this paper, we analyze the methods for predicting the MTTF of microcryocoolers of various manufacturers based on the Weibull law. The values of the shape and scale parameters of the Weibull distribution law for rotary microcryocoolers of various foreign manufacturers and a method for calculating the shape and scale parameters of this law are applied to the data obtained from experimental studies of microcryocooler samples. The limiting values of the shape variable were estimated and the methods for calculating the scale parameter needed to predict the MTTF of the microcryocooler both at the stage of improving existing models and at the stage of designing newly developed samples are presented. It seems that the approach to predicting the MTTF of the microcryocooler described in the work will allow us to determine the parameters of the Weibull distribution function for specific values set by the customer of the MTTF of the created microcryocooler sample, which in turn will allow the selection of machine components (assemblies and details) also for a specific values of MTTF
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In this paper, we analyze the methods for predicting the MTTF of microcryocoolers of various manufacturers based on the Weibull law. The values of the shape and scale parameters of the Weibull distribution law for rotary microcryocoolers of various foreign manufacturers and a method for calculating the shape and scale parameters of this law are applied to the data obtained from experimental studies of microcryocooler samples. The limiting values of the shape variable were estimated and the methods for calculating the scale parameter needed to predict the MTTF of the microcryocooler both at the stage of improving existing models and at the stage of designing newly developed samples are presented. It seems that the approach to predicting the MTTF of the microcryocooler described in the work will allow us to determine the parameters of the Weibull distribution function for specific values set by the customer of the MTTF of the created microcryocooler sample, which in turn will allow the selection of machine components (assemblies and details) also for a specific values of MTTF
Key concepts: Weibull distribution, Mean time between failures, Scale (ratio), Shape parameter, Scale parameter, Law, Reliability engineering, Computer science