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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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Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
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Investigation Methods of Parameters Random Variations in Control Systems

P. 1–5.
Kofanov Y. N., Sotnikova S., Sargsyan G.

Most publications on the theory and practice of creating control systems are devoted to deterministic problems, when the input quantities and output characteristics have deterministic values or functions. In the article, the authors draw attention to the fact that all input and output signals, as well as the internal parameters of control systems, always have random variations. Technological random deviations have parameters for construction materials and electronic components and devices. In addition, the ambient temperature randomly influences the control systems, mechanical effects from the installation object, as well as temporary aging, wear and other factors. The authors draw attention to the insufficient number of publications devoted to the system discussion of probabilistic methods for studying control systems. In this article, the authors not only systematized the methods for studying random variations in the parameters of control systems, but also set forth their unified approach to solving the most frequently encountered problems of studying accuracy, stability, serial seriality and parametric reliability in the case of gradual failure of control systems. The necessary mathematical apparatus is given.

Language: English
Full text
DOI
Keywords: stabilitycontrol systemsaccuracysensitivityprobabilistic methodsrandom scatterserial fitnessparametric reliabilitygradual failures
Publication based on the results of:
Теория форсайт-моделирования в проблеме обеспечения высокой надежности электронного оборудования в космической отрасли (2019)

In book

2019 International Siberian Conference on Control and Communications (SIBCON). Proceedings
2019 International Siberian Conference on Control and Communications (SIBCON). Proceedings
Tomsk: Tomsk State University of Control Systems and Radioelectronics (TUSUR), 2019.
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