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News
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.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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?

Development of a Software Model of Redundancy with Rotation for a Multi-Channel Voltage Converter

P. 99–106.
Лукина А. С., Целищев И. С.

The paper considers the influence of changes in the load factor when power channels fail in multi-channel voltage converters on the value of their operating time to failure and taking into account the probability of failures (probability of successful switch over) when switching power channels in converters.

Language: English
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Text on another site
Keywords: reliabilityDependabilityredundancydiverse redundancyredundancy with rotationelectrical load factorprobability of successful switch overmulti-channel voltage converters

In book

Information Innovative Technologies: Materials of the International scientific – рractical conference
Information Innovative Technologies: Materials of the International scientific – рractical conference
M.: Association of graduates and employees of AFEA named after prof. Zhukovsky, 2020.
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