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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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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.
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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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Лабораторное моделирование смещений блоков горных пород: малоамплитудные быстрые движения в экспериментах на слайдер-модели разлома

Вестник Санкт-Петербургского университета. Науки о Земле. 2024. Т. 69. № 2. Статья 1.
Krayushkin D. V., Казначеев П. А., Майбук З. Я., Пономарев А. В., Патонин А. В., Соболев Г. А., Кох В. В.

Experimental modeling of physical processes associated with faults of the Earth's crust is important for studying earthquakes, rock burst and processes accompanying the deposit development. Laboratory experiments with the study of stick-slip sliding of rock blocks relative to each other on a fault slider model have become widespread. Stick-slip sliding manifests itself in the form of episodes of rapid displacement when load increases to a critical value. The paper investigated the reaction of the model under conditions of different fault humidity after increasing load to a subcritical value. After five days of fault wetting and three series of loads, small and fast displacements (microstick-slips) were detected by signals of a three-component high-frequency accelerometer. Microstick-slips are two orders of magnitude smaller than displacements during episodes of the traditionally observed stick-slip. After time has elapsed since the loading stopped, intervals between microstick-slips increase faster than according to the power law. Magnitude of displacement, amplitude of accelerations and pulses of acoustic emission gradually decreases with reaching the plateau. Possible qualitative mechanisms of the occurrence of microstick-slips are proposed, taking into account the gradual wetting and drying of the fault zone after water injection. The main hypothesis is competition of hardening and softening processes in the fault zone during the removal of water from the fault due to drying and action of capillary forces. Uneven propagation of these processes along the fault can create prerequisites for either small linear displacement on a limited section of the fault, or small displacement with rotation. These displacements manifest themselves as microstick-slips. General slow slippage along the fault and decrease in shear stress leads to decrease in frequency of microstick-slips and in their characteristic parameters.

Language: Russian
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Keywords: разломземлетрясениеfaultaccelerationearthquakeslaboratory modelingfluid injectionstick-slipлабораторное моделированиеинжекция флюидаускорениястик-слип
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