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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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Generation of Quasi-Electrostatic Slow Extraordinary Waves by Kappa Distribution with a Loss Cone

Plasma Physics Reports. 2024. Vol. 50. No. 10. P. 1250–1264.
D. R. Shklyar, N. S. Artekha

A detailed study of the generation of slow extraordinary (SE) waves in the Earth’s magnetosphere has been carried out. Assuming that energetic electrons are distributed in accordance with the kappa-function with a loss cone, the instability growth rate of SE waves is calculated and its dependence on both the parameters of the hot particle distribution function and the cold particle density, characterized by the ratio of the electron plasma frequency to the electron cyclotron frequency, omega_p/omega_c, is studied. This ratio is one of the key parameters of the problem. For various values, the dependences of the instability growth rate on the parameter kappa of the distribution  function, the loss cone parameter l, and the temperature of the distribution and its anisotropy are obtained. A nonmonotonic, quasi-periodic dependence of the growth rate on the ratio of the frequency to the electron gyrofrequency, which manifests itself in the dependence of the equatorial growth rate on the L-shell or the dependence of the growth rate on the latitude on a fixed L-shell, is revealed and explained.

Research target: Physics
Language: English
DOI
Text on another site
Keywords: инкрементkappa distributiondouble plasma resonanceslow extraordinary wavesloss conewave growth rateкаппа распределениемедленная необыкновенная волнаконус потерьдвойной плазменный резонанс
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