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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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Институциональные особенности обеспечения безопасности дорожного движения

Гл. 6. С. 173–211.
Bukina T. V., Zueva E. L., Букин Е. К.

Road safety is a complex multi-faceted concept that characterizes the efficiency of the country's road transport system. Today, Russia occupies the 124th place in the world for road safety. The level of accidents on the roads of Russia is comparable with this indicator in Nigeria and Cameroon.
The urgency of work is caused by the increase in the rates of injuries and deaths in road accidents. The question of the formation of the concept of safe movement on the roads is the goal laid in the all-Russian project on road safety. In addition, on the territory of the Russian Federation there is a road map for reducing accidents, where the authors of this program note pay attention to the need to change the traffic management system.
In addition, accidents on roads are a threat to the national security of the country. Each road accident brings huge damage to the state, both economic and demographic. Annually, the damage from an accident for the Russian economy is about 140 billion rubles.

Language: Russian
Full text
Keywords: институциональный подходбезопасность дорожного движенияinstitutional approachroad safetytraffic accidentsдорожно-транспортное происшествие

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