Analysis of Numerical–Analytical Methods for Modeling Diagnostics and Prediction of Failures of Digital Twins of Mechanical Engineering Products

An analysis of the use of numerical–analytical methods for modeling diagnostics and prediction of failures of digital twins for specific applications in maintenance and repair in various industries is presented. The relevance of this work is determined by the need to create highly detailed physical models of units and assemblies of mechanical engineering products, allowing the study of wear and failure processes under conditions of dynamically changing external factors. The methods used, the results obtained, the agreed conclusions, and open problems are considered. An assessment of the reliability and demonstrativeness of the studies reviewed is given. The results obtained are of interest to technical researchers and specialists involved in the management of complex technical systems.

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Publication Details

Journal
Journal of Machinery Manufacture and Reliability
Published
2026-02-01
DOI
https://doi.org/10.1134/s1052618825701444
Primary Topic
Mechanical Systems and Engineering
Type
article
Field-Weighted Citation Impact
0.00
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article

Analysis of Numerical–Analytical Methods for Modeling Diagnostics and Prediction of Failures of Digital Twins of Mechanical Engineering Products

S.V. KARTSEV, O. V. Barmina, M. N. Erofeev
Journal of Machinery Manufacture and Reliability
Mechanical Systems and Engineering
article

Analysis of Numerical–Analytical Methods for Modeling Diagnostics and Prediction of Failures of Digital Twins of Mechanical Engineering Products

S.V. KARTSEV, O. V. Barmina, M. N. Erofeev
article en

Abstract

An analysis of the use of numerical–analytical methods for modeling diagnostics and prediction of failures of digital twins for specific applications in maintenance and repair in various industries is presented. The relevance of this work is determined by the need to create highly detailed physical models of units and assemblies of mechanical engineering products, allowing the study of wear and failure processes under conditions of dynamically changing external factors. The methods used, the results obtained, the agreed conclusions, and open problems are considered. An assessment of the reliability and demonstrativeness of the studies reviewed is given. The results obtained are of interest to technical researchers and specialists involved in the management of complex technical systems.

Journal of Machinery Manufacture and ReliabilityVol. 55(1)
Mechanical Engineering Research Institute of the Russian Academy of Sciences (RU)
Industry, innovation and infrastructure
Openalex Percentile: Top 52%
Mechanical Systems and Engineering
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