Вестник УГАТУ

Current Issue

Vol. 30 No. 3(113) (2026)

Published: 2026-07-10

Neural Network Diagnosis Model for a Small-sized Gas Turbine Engine

Sukhanov Andrey Vladimirovich, Zyryanov Alexey Viktorovich, Tsypaev Nikita Denisovich, Karimov Emil Shamilevich

3-9
- PDF (Русский)
Improvement of the intake manifold design based on analysis of its stress-strain state

Koneva Ksenia Vladimirovna, Mamedov Anar Aganovich, Okunev Denis Vladislavovich

10-17
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To the problem of tamping the packed masses of inductors of zinc melting furnaces

Shayakhmetov Ulfat Shaikhizamanovich, Zakharov Alexander Vasilyevich, Khamidullin Aidar Raifovich, Nedoseko Igor Vadimovich, Yuldashbaeva Venera Faizovna, Chudinov Valery Valentinovich

18-24
- PDF (Русский)
Calculation of fatigue strength of a transition mounting frame intended for bench testing of gas turbine engines

Zhernakov Vladimir Sergeevich, Akbashev Vadim Rinatovich, Koneva Ksenia Vladimirovna, Gushchinskii Leonid Constantinovich

25-34
- PDF (Русский)
Constructing a gas turbine combustor reactor model with formalized identification of zones limiting carbon monoxide oxidation

Kutlumukhamedov Artur Ramilevich, Skiba Dmitriy Vladimirovich, Bakirov Fedor Gayfullovich

35-47
- PDF
Integrated system for image restoration and augmentation using deep transformer-based neural networks

Berezhnov Nikita Igorevich, Sirota Alexander Anatolyevich

48-57
- PDF (Русский)
Method of GTE compressor finalizing based on test results

Krivosheev Igor Alexandrovich, Rozhkov Kirill Evgenievich, Simonov Nikolay Borisovich, Ivanova Olga Nikolaevna

58-69
- PDF (Русский)
Software system for regression analysis and visualization of multidimensional data from bench tests of internal combustion engines

Antonov Vyacheslav Viktorovich, Rodionova Lyudmila Evgenievna, Suvorova Veronika Alexandrovna, Palchevskiy Evgeniy Vladimirovich, Dudareva Natalya Yurievna, Dyachkov Alexey Sergeevich

70-78
- PDF (Русский)
Machine learning methods as part of the digital twin of a gas turbine engine: surrogate modeling and technical condition diagnostics

Nasretdinova Zulfiya Tabrisovna, Vedenyapin Igor Eduardovich

79-87
- PDF (Русский)
Modelling and experimental determination of the service life of carbide tools with TiAlCN coatings

Nazarov Almaz Yunirovich, Mukhamadeev Vener Rifkatovich, Mukhamadeev Timur Venerovich

88-97
- PDF (Русский)

View All Issues

Вестник УГАТУ

Current Issue

Neural Network Diagnosis Model for a Small-sized Gas Turbine Engine

Improvement of the intake manifold design based on analysis of its stress-strain state

To the problem of tamping the packed masses of inductors of zinc melting furnaces

Calculation of fatigue strength of a transition mounting frame intended for bench testing of gas turbine engines

Constructing a gas turbine combustor reactor model with formalized identification of zones limiting carbon monoxide oxidation

Integrated system for image restoration and augmentation using deep transformer-based neural networks

Method of GTE compressor finalizing based on test results

Software system for regression analysis and visualization of multidimensional data from bench tests of internal combustion engines

Machine learning methods as part of the digital twin of a gas turbine engine: surrogate modeling and technical condition diagnostics

Modelling and experimental determination of the service life of carbide tools with TiAlCN coatings

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