Multivariate Analysis of Variance in Estimating the Operational Reliability of Rotary Microcryogenic Gas Refrigerating Machines

Features of the application of multivariate analysis of variance (MANOVA) to assess the reliability of microcryogenic gas refrigeration machines (MCGRM) are considered. Using multivariate analysis, it is possible to carry out the calculation, design and optimization of assemblies and parts that make up the MCGRM, while assessing the reliability of components at the design stage. An example of the formation of a block of initial data for MANOVA obtained in the course of test experiments for measuring the temperature at the cold end of the MCGRM displacer by three independent factors (ambient temperature, design and porosity of the regenerator packing) is given. The implementation of multivariate analysis of variance was carried out in the mathematical statistics software (Statgraphics technologies Inc.). The use of MANOVA allows the acquisition of accurate data on the influence on the reliability of the MCGRM of various factors (environmental parameters, design, technical characteristics) in order to determine the depth and priority of improving the devices and components of the MCGRM.

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Correspondence to I. A. Arkharov.

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Translated from Khimicheskoe i Neftegazovoe Mashinostroenie, Vol. 56, No. 8, pp. 22–26, August, 2020.

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Arkharov, I.A., Navasardyan, E.S. & Shishova, N.E. Multivariate Analysis of Variance in Estimating the Operational Reliability of Rotary Microcryogenic Gas Refrigerating Machines. Chem Petrol Eng 56, 638–645 (2020). https://doi.org/10.1007/s10556-020-00821-9

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Keywords

  • MCGRM
  • reliability
  • mean time between failures (MTTF)
  • multivariate analysis of variance (MANOVA)