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  • Построение алгоритмов поиска неисправностей для систем диагностирования и мониторинга устройств железнодорожной автоматики и телемеханики
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July 8, 2026
HSE Researchers Discover Who Eats Out in Russia-And Why
Around one-third of Russians (31.3%) rarely eat out or buy ready-made meals. The core group of active consumers—those who eat out or purchase prepared food almost every day or several times a week—accounts for only about 9% of the population. These are the findings of a study conducted by the HSE Institute for Social Policy. According to the researchers eating out is no longer a marker of high social status in Russia.
July 8, 2026
HSE University and RREDA Join Forces to Support 2026 Renewable Energy of the Planet Competition
HSE University and the Russia Renewable Energy Development Association (RREDA) have signed a partnership and information cooperation agreement to support Renewable Energy of the Planet—2026, a national competition with international participation for students and early-career researchers. Applications are open on the competition's website until September 20, 2026.
July 6, 2026
Ancient Craniiform Brachiopod: A Newly Discovered Species with a Unique Shell Shape and Lifestyle
Scientists from HSE University, MSU, and Tallinn University of Technology have studied a fossil species of ancient brachiopods that lived in a warm sea in what is now northern Estonia more than 445 million years ago. These ancient brachiopods developed a cup-shaped shell with a protective 'cap' that shielded them from overgrowth by other marine organisms. The study has been published in Palaeogeography, Palaeoclimatology, Palaeoecology.

 

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Построение алгоритмов поиска неисправностей для систем диагностирования и мониторинга устройств железнодорожной автоматики и телемеханики

Датчики и системы. 2019. Т. 238. № 7/8. С. 21–27.
Кирсанов А.П., Марон А.И., Марон М.А.

The relevance of the study is due to the increasing intensity of train traffic on the Russian railways. By virtue of this, a rapid restoration of railway automation (RAT) devices is required. For this purpose, diagnosis and monitoring systems (STDM) of RAT are being introduced on the Russian railways. However, STDM does not automatically locate each of the possible fault up to a removable element, and need to be supplemented with optimal fault location algorithms (AFL) performed by the engineering servicing personnel. The purpose of the article is to develop practical methods for development such algorithms. First of all, for RAT devices built on modern elemental base, which makes it possible to use logical models for solving problems of their diagnosis. We found the features of such devices, which made it possible to overcome the dimension problem when constructing AFL for complex RAT devices. RAT devices is not limited the scope of use the obtained results.  The materials of the article will be useful to specialists dealing with technical diagnostics, postgraduate students and students specialty "Automatics and communication in railway transport" and students of similar areas of training in technical universities.

Research target: Engineering and Technology
Priority areas: business informatics
Language: Russian
Full text
Keywords: железнодорожный транспортдиагностикаdiagnosticRussian railwaysтехническая системаcomplex technical systems
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