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A Maintenance and Repair Decision Support Model for Transport and Technological Machines

  • EXPERIMENTAL MECHANICS, DIAGNOSTICS, AND TESTING
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Journal of Machinery Manufacture and Reliability Aims and scope Submit manuscript

Abstract

The digital immaturity of the technological machines service support sector is established, which is explained by an information failure in the formation of a databank of production and structural, organizational, and technological processes. It is established that direct application of the developed Industry 4.0 technologies to the service support sector of transport and technological machines is almost impossible. An analysis of the significance of repair and recovery activities for transport and technological machines in terms of maintaining their performance and resource optimization is presented. A term is introduced, and the description of the concept “digital image of the repair and recovery technology” (DIRRT) is given in the context of a single service center/enterprise. The DIRRT is characterized by stepwise construction of an element-by-element predictive–probabilistic model of failure of individual parts with allowance for changing load characteristics during operation and creating a grid of the predictive maintenance requirement throughout the service life of the technological machine as a whole. An algorithm is developed for involving the digital module into the organizational production and technical infrastructure of the service center when optimizing repair and recovery of transport and technological machines.

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Authors and Affiliations

  1. Rosinformagrotech, 141261, Moscow, Russia

    I. G. Golubev

  2. Russian State Agrarian University – Moscow Timiryazev Agricultural Academy, 127434, Moscow, Russia

    A. S. Apatenko, N. S. Sevryugina & N. I. Vladimirova

Authors
  1. I. G. Golubev
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  2. A. S. Apatenko
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  3. N. S. Sevryugina
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  4. N. I. Vladimirova
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Corresponding author

Correspondence to N. S. Sevryugina.

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Translated by A. Kolemesin

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Golubev, I.G., Apatenko, A.S., Sevryugina, N.S. et al. A Maintenance and Repair Decision Support Model for Transport and Technological Machines. J. Mach. Manuf. Reliab. 52, 391–399 (2023). https://doi.org/10.3103/S1052618823040064

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  • DOI: https://doi.org/10.3103/S1052618823040064

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