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May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
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Construction of a Nonlinear Model of an Enterprise Based on its Structure and Business Processes Description

Ch. 998976798. P. 1–5.
Nekrasov I., Nikolay Pravdivets
Language: English
Full text
DOI
Text on another site
Keywords: Enterprise Modeling business processkey performance indicators (KPI)Digital twindigital enterpriseenterprise operational management

In book

2024 17th International Conference on Management of Large-Scale System Development (MLSD)
2024 17th International Conference on Management of Large-Scale System Development (MLSD)
IEEE, 2024.
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