THE USE OF DIGITAL TWINS OF FUEL INJECTION SYSTEMS FOR MACHINE LEARNING AND PREDICTIVE DIAGNOSTIC NEURAL MODELS

The article considers an example of the use of digital twins of injection systems for fast and accurate training of neural network models of a predictive diagnostic system. It is proposed to increase the number of diagnostic indicators by mathematically processing the signals received from standard sensors.

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Publication Details

Journal
RUSSIAN ELECTRONIC SCIENTIFIC JOURNAL
Published
2025-01-01
DOI
https://doi.org/10.31563/2308-9644-2025-55-1-338-345
Primary Topic
Advanced Data Processing Techniques
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article
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article

THE USE OF DIGITAL TWINS OF FUEL INJECTION SYSTEMS FOR MACHINE LEARNING AND PREDICTIVE DIAGNOSTIC NEURAL MODELS

Kathija Nasreen A, Oleksandr V. Nikolenko, Nigmatullin S.F.
RUSSIAN ELECTRONIC SCIENTIFIC JOURNAL
Advanced Data Processing Techniques
article

THE USE OF DIGITAL TWINS OF FUEL INJECTION SYSTEMS FOR MACHINE LEARNING AND PREDICTIVE DIAGNOSTIC NEURAL MODELS

Kathija Nasreen A, Oleksandr V. Nikolenko, Nigmatullin S.F.
article en

Abstract

The article considers an example of the use of digital twins of injection systems for fast and accurate training of neural network models of a predictive diagnostic system. It is proposed to increase the number of diagnostic indicators by mathematically processing the signals received from standard sensors.

RUSSIAN ELECTRONIC SCIENTIFIC JOURNALVol. 55(1)
Openalex Percentile: Top 80%
Advanced Data Processing Techniques
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THE USE OF DIGITAL TWINS OF FUEL INJECTION SYSTEMS FOR MACHINE LEARNING AND PREDICTIVE DIAGNOSTIC NEURAL MODELS — Kathija Nasreen A, Oleksandr V. Nikolenko, et al. · RUSSIAN ELECTRONIC SCIENTIFIC JOURNAL (2025) | TGRS Research Map | TGRS